Thu, 12 Sep 2024

Package garma updated to version 0.9.23 with previous version 0.9.22 dated 2024-09-05

Title: Fitting and Forecasting Gegenbauer ARMA Time Series Models
Description: Methods for estimating univariate long memory-seasonal/cyclical Gegenbauer time series processes. See for example (2022) <doi:10.1007/s00362-022-01290-3>. Refer to the vignette for details of fitting these processes.
Author: Richard Hunt [aut, cre]
Maintainer: Richard Hunt <[email protected]>

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Package vDiveR updated to version 2.0.0 with previous version 1.2.1 dated 2024-01-09

Title: Visualization of Viral Protein Sequence Diversity Dynamics
Description: To ease the visualization of outputs from Diversity Motif Analyser ('DiMA'; <https://github.com/BVU-BILSAB/DiMA>). 'vDiveR' allows visualization of the diversity motifs (index and its variants – major, minor and unique) for elucidation of the underlying inherent dynamics. Please refer <https://vdiver-manual.readthedocs.io/en/latest/> for more information.
Author: Pendy Tok [aut, cre], Li Chuin Chong [aut], Evgenia Chikina [aut], Yin Cheng Chen [aut], Mohammad Asif Khan [aut]
Maintainer: Pendy Tok <[email protected]>

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Package RSEIS updated to version 4.2-4 with previous version 4.2-0 dated 2024-02-25

Title: Seismic Time Series Analysis Tools
Description: Multiple interactive codes to view and analyze seismic data, via spectrum analysis, wavelet transforms, particle motion, hodograms. Includes general time-series tools, plotting, filtering, interactive display.
Author: Jonathan M. Lees [aut, cre], Jake Anderson [ctb], Leonard Lisapaly [ctb], Dave Harris [aut, cph]
Maintainer: Jonathan M. Lees <[email protected]>

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Permanent link

Package pomp updated to version 5.11 with previous version 5.10 dated 2024-07-01

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre] , Edward L. Ionides [aut] , Carles Breto [aut] , Stephen P. Ellner [ctb] , Matthew J. Ferrari [ctb] , Sebastian Funk [ctb] , Steven G. Johnson [ctb], Bruce E. Kendall [ctb] , Michael Lavine [ctb], Dao Nguyen [ctb] , Eamon B. [...truncated...]
Maintainer: Aaron A. King <[email protected]>

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Permanent link

Package manynet updated to version 1.1.0 with previous version 1.0.5 dated 2024-08-30

Title: Many Ways to Make, Modify, Map, Mark, and Measure Myriad Networks
Description: Many tools for making, modifying, mapping, marking, measuring, and motifs and memberships of many different types of networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing and visualizing networks with sensible defaults.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Christian Steglich [ctb]
Maintainer: James Hollway <[email protected]>

Diff between manynet versions 1.0.5 dated 2024-08-30 and 1.1.0 dated 2024-09-12

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More information about manynet at CRAN
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Package Luminescence updated to version 0.9.25 with previous version 0.9.24 dated 2024-06-07

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <[email protected]>

Diff between Luminescence versions 0.9.24 dated 2024-06-07 and 0.9.25 dated 2024-09-12

 Luminescence-0.9.24/Luminescence/tests/testthat/test_RLum.R                              |only
 Luminescence-0.9.24/Luminescence/tests/testthat/test_analyse_IRSARRF.R                   |only
 Luminescence-0.9.24/Luminescence/tests/testthat/test_analyse_SARCWOSL.R                  |only
 Luminescence-0.9.24/Luminescence/tests/testthat/test_analyse_SARTL.R                     |only
 Luminescence-0.9.24/Luminescence/tests/testthat/test_calc_CobbeDoseRate.R                |only
 Luminescence-0.9.24/Luminescence/tests/testthat/test_convert_XYSG2CSV.R                  |only
 Luminescence-0.9.24/Luminescence/tests/testthat/test_merge_RLumDataCurve.R               |only
 Luminescence-0.9.24/Luminescence/tests/testthat/test_merge_RLumResults.R                 |only
 Luminescence-0.9.24/Luminescence/tests/testthat/test_merge_RisoeBINfileData.R            |only
 Luminescence-0.9.25/Luminescence/DESCRIPTION                                             |   79 -
 Luminescence-0.9.25/Luminescence/MD5                                                     |  716 +++++-----
 Luminescence-0.9.25/Luminescence/NAMESPACE                                               |    6 
 Luminescence-0.9.25/Luminescence/NEWS.md                                                 |  312 ++--
 Luminescence-0.9.25/Luminescence/R/Analyse_SAR.OSLdata.R                                 |    2 
 Luminescence-0.9.25/Luminescence/R/CW2pHMi.R                                             |    7 
 Luminescence-0.9.25/Luminescence/R/PSL2Risoe.BINfileData.R                               |   17 
 Luminescence-0.9.25/Luminescence/R/RLum.Analysis-class.R                                 |   89 -
 Luminescence-0.9.25/Luminescence/R/RLum.Data.Curve-class.R                               |    6 
 Luminescence-0.9.25/Luminescence/R/RLum.Data.Image-class.R                               |    8 
 Luminescence-0.9.25/Luminescence/R/RLum.Results-class.R                                  |   37 
 Luminescence-0.9.25/Luminescence/R/Risoe.BINfileData-class.R                             |    2 
 Luminescence-0.9.25/Luminescence/R/Risoe.BINfileData2RLum.Analysis.R                     |  128 -
 Luminescence-0.9.25/Luminescence/R/Risoe.BINfileData2RLum.Data.Curve.R                   |    8 
 Luminescence-0.9.25/Luminescence/R/Second2Gray.R                                         |    2 
 Luminescence-0.9.25/Luminescence/R/addins_RLum.R                                         |   17 
 Luminescence-0.9.25/Luminescence/R/analyse_Al2O3C_CrossTalk.R                            |   18 
 Luminescence-0.9.25/Luminescence/R/analyse_Al2O3C_ITC.R                                  |   28 
 Luminescence-0.9.25/Luminescence/R/analyse_Al2O3C_Measurement.R                          |   90 -
 Luminescence-0.9.25/Luminescence/R/analyse_FadingMeasurement.R                           |  121 -
 Luminescence-0.9.25/Luminescence/R/analyse_IRSAR.RF.R                                    |  217 +--
 Luminescence-0.9.25/Luminescence/R/analyse_SAR.CWOSL.R                                   |  173 --
 Luminescence-0.9.25/Luminescence/R/analyse_SAR.TL.R                                      |   63 
 Luminescence-0.9.25/Luminescence/R/analyse_baSAR.R                                       |  423 ++---
 Luminescence-0.9.25/Luminescence/R/analyse_pIRIRSequence.R                               |   38 
 Luminescence-0.9.25/Luminescence/R/analyse_portableOSL.R                                 |   52 
 Luminescence-0.9.25/Luminescence/R/apply_CosmicRayRemoval.R                              |   11 
 Luminescence-0.9.25/Luminescence/R/calc_AliquotSize.R                                    |   26 
 Luminescence-0.9.25/Luminescence/R/calc_AverageDose.R                                    |   28 
 Luminescence-0.9.25/Luminescence/R/calc_CommonDose.R                                     |   38 
 Luminescence-0.9.25/Luminescence/R/calc_CosmicDoseRate.R                                 |   13 
 Luminescence-0.9.25/Luminescence/R/calc_FadingCorr.R                                     |   15 
 Luminescence-0.9.25/Luminescence/R/calc_FastRatio.R                                      |   72 -
 Luminescence-0.9.25/Luminescence/R/calc_FiniteMixture.R                                  |   62 
 Luminescence-0.9.25/Luminescence/R/calc_FuchsLang2001.R                                  |    2 
 Luminescence-0.9.25/Luminescence/R/calc_Huntley2006.R                                    |   67 
 Luminescence-0.9.25/Luminescence/R/calc_Lamothe2003.R                                    |   13 
 Luminescence-0.9.25/Luminescence/R/calc_MinDose.R                                        |   96 -
 Luminescence-0.9.25/Luminescence/R/calc_OSLLxTxDecomposed.R                              |   30 
 Luminescence-0.9.25/Luminescence/R/calc_Statistics.R                                     |    5 
 Luminescence-0.9.25/Luminescence/R/calc_TLLxTxRatio.R                                    |    1 
 Luminescence-0.9.25/Luminescence/R/calc_ThermalLifetime.R                                |   27 
 Luminescence-0.9.25/Luminescence/R/calc_WodaFuchs2008.R                                  |   72 -
 Luminescence-0.9.25/Luminescence/R/calc_gSGC.R                                           |   44 
 Luminescence-0.9.25/Luminescence/R/calc_gSGC_feldspar.R                                  |    4 
 Luminescence-0.9.25/Luminescence/R/combine_De_Dr.R                                       |    6 
 Luminescence-0.9.25/Luminescence/R/convert_Daybreak2CSV.R                                |   10 
 Luminescence-0.9.25/Luminescence/R/convert_Wavelength2Energy.R                           |    3 
 Luminescence-0.9.25/Luminescence/R/convert_XSYG2CSV.R                                    |    2 
 Luminescence-0.9.25/Luminescence/R/extract_IrradiationTimes.R                            |  109 -
 Luminescence-0.9.25/Luminescence/R/fit_CWCurve.R                                         |   53 
 Luminescence-0.9.25/Luminescence/R/fit_EmissionSpectra.R                                 |   49 
 Luminescence-0.9.25/Luminescence/R/fit_LMCurve.R                                         |   70 
 Luminescence-0.9.25/Luminescence/R/fit_OSLLifeTimes.R                                    |  113 -
 Luminescence-0.9.25/Luminescence/R/fit_SurfaceExposure.R                                 |   27 
 Luminescence-0.9.25/Luminescence/R/fit_ThermalQuenching.R                                |    8 
 Luminescence-0.9.25/Luminescence/R/get_Layout.R                                          |    5 
 Luminescence-0.9.25/Luminescence/R/import_Data.R                                         |    5 
 Luminescence-0.9.25/Luminescence/R/install_DevelopmentVersion.R                          |    7 
 Luminescence-0.9.25/Luminescence/R/internal_as.latex.table.R                             |   26 
 Luminescence-0.9.25/Luminescence/R/internals_RLum.R                                      |  142 +
 Luminescence-0.9.25/Luminescence/R/internals_Thermochronometry.R                         |  149 ++
 Luminescence-0.9.25/Luminescence/R/merge_RLum.Analysis.R                                 |   21 
 Luminescence-0.9.25/Luminescence/R/merge_RLum.Data.Curve.R                               |   32 
 Luminescence-0.9.25/Luminescence/R/merge_RLum.R                                          |   10 
 Luminescence-0.9.25/Luminescence/R/merge_RLum.Results.R                                  |   15 
 Luminescence-0.9.25/Luminescence/R/merge_Risoe.BINfileData.R                             |   13 
 Luminescence-0.9.25/Luminescence/R/methods_RLum.R                                        |   13 
 Luminescence-0.9.25/Luminescence/R/plot_AbanicoPlot.R                                    |  131 -
 Luminescence-0.9.25/Luminescence/R/plot_DRCSummary.R                                     |   25 
 Luminescence-0.9.25/Luminescence/R/plot_DRTResults.R                                     |   23 
 Luminescence-0.9.25/Luminescence/R/plot_DetPlot.R                                        |   59 
 Luminescence-0.9.25/Luminescence/R/plot_FilterCombinations.R                             |   50 
 Luminescence-0.9.25/Luminescence/R/plot_GrowthCurve.R                                    |  152 --
 Luminescence-0.9.25/Luminescence/R/plot_Histogram.R                                      |   53 
 Luminescence-0.9.25/Luminescence/R/plot_KDE.R                                            |  114 -
 Luminescence-0.9.25/Luminescence/R/plot_NRt.R                                            |   25 
 Luminescence-0.9.25/Luminescence/R/plot_RLum.Analysis.R                                  |  106 -
 Luminescence-0.9.25/Luminescence/R/plot_RLum.Data.Curve.R                                |    7 
 Luminescence-0.9.25/Luminescence/R/plot_RLum.Data.Spectrum.R                             |   89 -
 Luminescence-0.9.25/Luminescence/R/plot_RLum.R                                           |    2 
 Luminescence-0.9.25/Luminescence/R/plot_RLum.Results.R                                   |   23 
 Luminescence-0.9.25/Luminescence/R/plot_RadialPlot.R                                     |   71 
 Luminescence-0.9.25/Luminescence/R/plot_Risoe.BINfileData.R                              |   13 
 Luminescence-0.9.25/Luminescence/R/plot_ViolinPlot.R                                     |   37 
 Luminescence-0.9.25/Luminescence/R/read_BIN2R.R                                          |  713 ++++-----
 Luminescence-0.9.25/Luminescence/R/read_Daybreak2R.R                                     |    9 
 Luminescence-0.9.25/Luminescence/R/read_HeliosOSL2R.R                                    |only
 Luminescence-0.9.25/Luminescence/R/read_PSL2R.R                                          |   80 -
 Luminescence-0.9.25/Luminescence/R/read_RF2R.R                                           |    7 
 Luminescence-0.9.25/Luminescence/R/read_SPE2R.R                                          |   70 
 Luminescence-0.9.25/Luminescence/R/read_TIFF2R.R                                         |    3 
 Luminescence-0.9.25/Luminescence/R/read_XSYG2R.R                                         |  123 -
 Luminescence-0.9.25/Luminescence/R/report_RLum.R                                         |   29 
 Luminescence-0.9.25/Luminescence/R/scale_GammaDose.R                                     |    4 
 Luminescence-0.9.25/Luminescence/R/template_DRAC.R                                       |    3 
 Luminescence-0.9.25/Luminescence/R/use_DRAC.R                                            |   18 
 Luminescence-0.9.25/Luminescence/R/verify_SingleGrainData.R                              |   18 
 Luminescence-0.9.25/Luminescence/R/write_R2BIN.R                                         |   38 
 Luminescence-0.9.25/Luminescence/R/write_R2TIFF.R                                        |    3 
 Luminescence-0.9.25/Luminescence/R/write_RLum2CSV.R                                      |    9 
 Luminescence-0.9.25/Luminescence/R/zzz.R                                                 |    2 
 Luminescence-0.9.25/Luminescence/README.md                                               |   21 
 Luminescence-0.9.25/Luminescence/build/partial.rdb                                       |binary
 Luminescence-0.9.25/Luminescence/build/vignette.rds                                      |binary
 Luminescence-0.9.25/Luminescence/inst/CITATION                                           |    2 
 Luminescence-0.9.25/Luminescence/inst/extdata/HeliosOSL_Example.osl                      |only
 Luminescence-0.9.25/Luminescence/man/Analyse_SAR.OSLdata.Rd                              |    4 
 Luminescence-0.9.25/Luminescence/man/CW2pHMi.Rd                                          |    2 
 Luminescence-0.9.25/Luminescence/man/CW2pLM.Rd                                           |    2 
 Luminescence-0.9.25/Luminescence/man/CW2pLMi.Rd                                          |    2 
 Luminescence-0.9.25/Luminescence/man/CW2pPMi.Rd                                          |    2 
 Luminescence-0.9.25/Luminescence/man/GitHub-API.Rd                                       |    2 
 Luminescence-0.9.25/Luminescence/man/Luminescence-package.Rd                             |    5 
 Luminescence-0.9.25/Luminescence/man/PSL2Risoe.BINfileData.Rd                            |    8 
 Luminescence-0.9.25/Luminescence/man/RLum-class.Rd                                       |    2 
 Luminescence-0.9.25/Luminescence/man/RLum.Analysis-class.Rd                              |    2 
 Luminescence-0.9.25/Luminescence/man/RLum.Data.Curve-class.Rd                            |    2 
 Luminescence-0.9.25/Luminescence/man/RLum.Data.Image-class.Rd                            |    2 
 Luminescence-0.9.25/Luminescence/man/RLum.Data.Spectrum-class.Rd                         |    2 
 Luminescence-0.9.25/Luminescence/man/RLum.Results-class.Rd                               |    2 
 Luminescence-0.9.25/Luminescence/man/Risoe.BINfileData-class.Rd                          |    2 
 Luminescence-0.9.25/Luminescence/man/Risoe.BINfileData2RLum.Analysis.Rd                  |    4 
 Luminescence-0.9.25/Luminescence/man/Second2Gray.Rd                                      |    2 
 Luminescence-0.9.25/Luminescence/man/analyse_Al2O3C_CrossTalk.Rd                         |    2 
 Luminescence-0.9.25/Luminescence/man/analyse_Al2O3C_ITC.Rd                               |    2 
 Luminescence-0.9.25/Luminescence/man/analyse_Al2O3C_Measurement.Rd                       |    6 
 Luminescence-0.9.25/Luminescence/man/analyse_FadingMeasurement.Rd                        |    7 
 Luminescence-0.9.25/Luminescence/man/analyse_IRSAR.RF.Rd                                 |    6 
 Luminescence-0.9.25/Luminescence/man/analyse_SAR.CWOSL.Rd                                |    2 
 Luminescence-0.9.25/Luminescence/man/analyse_SAR.TL.Rd                                   |    2 
 Luminescence-0.9.25/Luminescence/man/analyse_baSAR.Rd                                    |    6 
 Luminescence-0.9.25/Luminescence/man/analyse_pIRIRSequence.Rd                            |    2 
 Luminescence-0.9.25/Luminescence/man/analyse_portableOSL.Rd                              |    4 
 Luminescence-0.9.25/Luminescence/man/apply_CosmicRayRemoval.Rd                           |    4 
 Luminescence-0.9.25/Luminescence/man/apply_EfficiencyCorrection.Rd                       |    2 
 Luminescence-0.9.25/Luminescence/man/bin_RLum.Data.Rd                                    |    2 
 Luminescence-0.9.25/Luminescence/man/calc_AliquotSize.Rd                                 |    4 
 Luminescence-0.9.25/Luminescence/man/calc_AverageDose.Rd                                 |    4 
 Luminescence-0.9.25/Luminescence/man/calc_CentralDose.Rd                                 |    2 
 Luminescence-0.9.25/Luminescence/man/calc_CobbleDoseRate.Rd                              |    2 
 Luminescence-0.9.25/Luminescence/man/calc_CommonDose.Rd                                  |    2 
 Luminescence-0.9.25/Luminescence/man/calc_CosmicDoseRate.Rd                              |    2 
 Luminescence-0.9.25/Luminescence/man/calc_FadingCorr.Rd                                  |    2 
 Luminescence-0.9.25/Luminescence/man/calc_FastRatio.Rd                                   |   10 
 Luminescence-0.9.25/Luminescence/man/calc_FiniteMixture.Rd                               |    2 
 Luminescence-0.9.25/Luminescence/man/calc_FuchsLang2001.Rd                               |    4 
 Luminescence-0.9.25/Luminescence/man/calc_HomogeneityTest.Rd                             |    2 
 Luminescence-0.9.25/Luminescence/man/calc_Huntley2006.Rd                                 |    2 
 Luminescence-0.9.25/Luminescence/man/calc_IEU.Rd                                         |    2 
 Luminescence-0.9.25/Luminescence/man/calc_Kars2008.Rd                                    |    2 
 Luminescence-0.9.25/Luminescence/man/calc_Lamothe2003.Rd                                 |    4 
 Luminescence-0.9.25/Luminescence/man/calc_MaxDose.Rd                                     |    2 
 Luminescence-0.9.25/Luminescence/man/calc_MinDose.Rd                                     |   13 
 Luminescence-0.9.25/Luminescence/man/calc_OSLLxTxDecomposed.Rd                           |    2 
 Luminescence-0.9.25/Luminescence/man/calc_OSLLxTxRatio.Rd                                |    2 
 Luminescence-0.9.25/Luminescence/man/calc_SourceDoseRate.Rd                              |    2 
 Luminescence-0.9.25/Luminescence/man/calc_Statistics.Rd                                  |    2 
 Luminescence-0.9.25/Luminescence/man/calc_TLLxTxRatio.Rd                                 |    2 
 Luminescence-0.9.25/Luminescence/man/calc_ThermalLifetime.Rd                             |    2 
 Luminescence-0.9.25/Luminescence/man/calc_WodaFuchs2008.Rd                               |    8 
 Luminescence-0.9.25/Luminescence/man/calc_gSGC.Rd                                        |    4 
 Luminescence-0.9.25/Luminescence/man/calc_gSGC_feldspar.Rd                               |    2 
 Luminescence-0.9.25/Luminescence/man/combine_De_Dr.Rd                                    |    4 
 Luminescence-0.9.25/Luminescence/man/convert_Activity2Concentration.Rd                   |    2 
 Luminescence-0.9.25/Luminescence/man/convert_BIN2CSV.Rd                                  |    2 
 Luminescence-0.9.25/Luminescence/man/convert_Concentration2DoseRate.Rd                   |    2 
 Luminescence-0.9.25/Luminescence/man/convert_Daybreak2CSV.Rd                             |    4 
 Luminescence-0.9.25/Luminescence/man/convert_PSL2CSV.Rd                                  |    2 
 Luminescence-0.9.25/Luminescence/man/convert_RLum2Risoe.BINfileData.Rd                   |    2 
 Luminescence-0.9.25/Luminescence/man/convert_SG2MG.Rd                                    |    2 
 Luminescence-0.9.25/Luminescence/man/convert_Wavelength2Energy.Rd                        |    2 
 Luminescence-0.9.25/Luminescence/man/convert_XSYG2CSV.Rd                                 |    2 
 Luminescence-0.9.25/Luminescence/man/extract_IrradiationTimes.Rd                         |   12 
 Luminescence-0.9.25/Luminescence/man/extract_ROI.Rd                                      |    2 
 Luminescence-0.9.25/Luminescence/man/fit_CWCurve.Rd                                      |   15 
 Luminescence-0.9.25/Luminescence/man/fit_EmissionSpectra.Rd                              |    2 
 Luminescence-0.9.25/Luminescence/man/fit_LMCurve.Rd                                      |    2 
 Luminescence-0.9.25/Luminescence/man/fit_OSLLifeTimes.Rd                                 |    5 
 Luminescence-0.9.25/Luminescence/man/fit_SurfaceExposure.Rd                              |    2 
 Luminescence-0.9.25/Luminescence/man/fit_ThermalQuenching.Rd                             |    2 
 Luminescence-0.9.25/Luminescence/man/get_Layout.Rd                                       |    2 
 Luminescence-0.9.25/Luminescence/man/get_Quote.Rd                                        |    2 
 Luminescence-0.9.25/Luminescence/man/get_RLum.Rd                                         |    2 
 Luminescence-0.9.25/Luminescence/man/get_Risoe.BINfileData.Rd                            |    2 
 Luminescence-0.9.25/Luminescence/man/get_rightAnswer.Rd                                  |    2 
 Luminescence-0.9.25/Luminescence/man/import_Data.Rd                                      |    4 
 Luminescence-0.9.25/Luminescence/man/length_RLum.Rd                                      |    2 
 Luminescence-0.9.25/Luminescence/man/merge_RLum.Analysis.Rd                              |    6 
 Luminescence-0.9.25/Luminescence/man/merge_RLum.Data.Curve.Rd                            |    2 
 Luminescence-0.9.25/Luminescence/man/merge_RLum.Rd                                       |    6 
 Luminescence-0.9.25/Luminescence/man/merge_RLum.Results.Rd                               |    2 
 Luminescence-0.9.25/Luminescence/man/merge_Risoe.BINfileData.Rd                          |    2 
 Luminescence-0.9.25/Luminescence/man/methods_RLum.Rd                                     |    7 
 Luminescence-0.9.25/Luminescence/man/names_RLum.Rd                                       |    2 
 Luminescence-0.9.25/Luminescence/man/plot_AbanicoPlot.Rd                                 |   13 
 Luminescence-0.9.25/Luminescence/man/plot_DRCSummary.Rd                                  |    4 
 Luminescence-0.9.25/Luminescence/man/plot_DRTResults.Rd                                  |    2 
 Luminescence-0.9.25/Luminescence/man/plot_DetPlot.Rd                                     |    5 
 Luminescence-0.9.25/Luminescence/man/plot_FilterCombinations.Rd                          |    2 
 Luminescence-0.9.25/Luminescence/man/plot_GrowthCurve.Rd                                 |    9 
 Luminescence-0.9.25/Luminescence/man/plot_Histogram.Rd                                   |    2 
 Luminescence-0.9.25/Luminescence/man/plot_KDE.Rd                                         |    9 
 Luminescence-0.9.25/Luminescence/man/plot_NRt.Rd                                         |    6 
 Luminescence-0.9.25/Luminescence/man/plot_OSLAgeSummary.Rd                               |    2 
 Luminescence-0.9.25/Luminescence/man/plot_RLum.Analysis.Rd                               |    9 
 Luminescence-0.9.25/Luminescence/man/plot_RLum.Data.Curve.Rd                             |    8 
 Luminescence-0.9.25/Luminescence/man/plot_RLum.Data.Image.Rd                             |    2 
 Luminescence-0.9.25/Luminescence/man/plot_RLum.Data.Spectrum.Rd                          |    2 
 Luminescence-0.9.25/Luminescence/man/plot_RLum.Rd                                        |    2 
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 Luminescence-0.9.25/Luminescence/man/template_DRAC.Rd                                    |    2 
 Luminescence-0.9.25/Luminescence/man/trim_RLum.Data.Rd                                   |    2 
 Luminescence-0.9.25/Luminescence/man/tune_Data.Rd                                        |    2 
 Luminescence-0.9.25/Luminescence/man/use_DRAC.Rd                                         |    2 
 Luminescence-0.9.25/Luminescence/man/verify_SingleGrainData.Rd                           |   14 
 Luminescence-0.9.25/Luminescence/man/write_R2BIN.Rd                                      |   12 
 Luminescence-0.9.25/Luminescence/man/write_R2TIFF.Rd                                     |    2 
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 Luminescence-0.9.25/Luminescence/tests/testthat/test_CW2pX.R                             |    2 
 Luminescence-0.9.25/Luminescence/tests/testthat/test_PSL2RisoeBINfiledata.R              |   17 
 Luminescence-0.9.25/Luminescence/tests/testthat/test_RLum.Analysis-class.R               |  174 ++
 Luminescence-0.9.25/Luminescence/tests/testthat/test_RLum.Data.Curve.R                   |    1 
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 Luminescence-0.9.25/Luminescence/tests/testthat/test_analyse_Al2O3C_CrossTalk.R          |   40 
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 Luminescence-0.9.25/Luminescence/tests/testthat/test_read_SPE2R.R                        |   69 
 Luminescence-0.9.25/Luminescence/tests/testthat/test_read_TIFF2R.R                       |    1 
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 Luminescence-0.9.25/Luminescence/tests/testthat/test_replicate_RLum.R                    |    1 
 Luminescence-0.9.25/Luminescence/tests/testthat/test_report_RLum.R                       |   17 
 Luminescence-0.9.25/Luminescence/tests/testthat/test_scale_GammaDose.R                   |   12 
 Luminescence-0.9.25/Luminescence/tests/testthat/test_smooth_RLum.R                       |    2 
 Luminescence-0.9.25/Luminescence/tests/testthat/test_structure_RLum.R                    |    1 
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 375 files changed, 6085 insertions(+), 4646 deletions(-)

More information about Luminescence at CRAN
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Package lares updated to version 5.2.9 with previous version 5.2.8 dated 2024-06-11

Title: Analytics & Machine Learning Sidekick
Description: Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, MMM, Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Author: Bernardo Lares [aut, cre]
Maintainer: Bernardo Lares <[email protected]>

Diff between lares versions 5.2.8 dated 2024-06-11 and 5.2.9 dated 2024-09-12

 DESCRIPTION                |   16 
 MD5                        |  514 +++----
 NAMESPACE                  | 1077 ++++++++--------
 R/apis.R                   |   68 -
 R/audio.R                  |  359 ++---
 R/cache.R                  |  326 ++--
 R/chatgpt.R                |  938 ++++++-------
 R/checks.R                 |  304 ++--
 R/clusters.R               |  694 +++++-----
 R/colour_palettes.R        |  394 ++---
 R/confidence.R             |  172 +-
 R/correlations.R           | 1116 ++++++++--------
 R/cran.R                   |  176 +-
 R/credentials.R            |  196 +-
 R/crosstab.R               |  202 +--
 R/currency.R               |  146 +-
 R/dalex_explainers.R       |  441 +++---
 R/dataframe_str.R          |  462 +++---
 R/datasets.R               |  160 +-
 R/dim_reduction.R          |  336 ++---
 R/distribution.R           |  950 +++++++-------
 R/dropbox.R                |  246 +--
 R/encoding.R               |   44 
 R/facebook.R               | 1528 +++++++++++-----------
 R/forecasting.R            |  710 +++++-----
 R/frequencies.R            | 1724 ++++++++++++-------------
 R/gemini.R                 |  166 +-
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 R/google_analytics.R       |  130 -
 R/google_sheets.R          |  258 +--
 R/google_trends.R          |  380 ++---
 R/hubspot.R                |  398 ++---
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 R/model_metrics.R          | 1232 +++++++++---------
 R/model_plots.R            | 2928 +++++++++++++++++++++----------------------
 R/model_predict.R          |  326 ++--
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 R/wordle.R                 |  596 ++++----
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 R/x2y.R                    |  736 +++++-----
 R/zzz.R                    |  198 +-
 README.md                  |  146 +-
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Package gam updated to version 1.22-5 with previous version 1.22-4 dated 2024-07-18

Title: Generalized Additive Models
Description: Functions for fitting and working with generalized additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).
Author: Trevor Hastie [aut, cre], Balasubramanian Narasimhan [ctb]
Maintainer: Trevor Hastie <[email protected]>

Diff between gam versions 1.22-4 dated 2024-07-18 and 1.22-5 dated 2024-09-12

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Package eAnalytics updated to version 0.3.1 with previous version 0.3 dated 2023-06-26

Title: Dynamic Web-Based Analytics for the Energy Industry
Description: A 'Shiny' web application for energy industry analytics. Take an overview of the industry, measure Key Performance Indicators, identify changes in the industry over time, and discover new relationships in the data.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <[email protected]>

Diff between eAnalytics versions 0.3 dated 2023-06-26 and 0.3.1 dated 2024-09-12

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Package BAMMtools updated to version 2.1.12 with previous version 2.1.11 dated 2023-12-19

Title: Analysis and Visualization of Macroevolutionary Dynamics on Phylogenetic Trees
Description: Provides functions for analyzing and visualizing complex macroevolutionary dynamics on phylogenetic trees. It is a companion package to the command line program BAMM (Bayesian Analysis of Macroevolutionary Mixtures) and is entirely oriented towards the analysis, interpretation, and visualization of evolutionary rates. Functionality includes visualization of rate shifts on phylogenies, estimating evolutionary rates through time, comparing posterior distributions of evolutionary rates across clades, comparing diversification models using Bayes factors, and more.
Author: Dan Rabosky [aut], Michael Grundler [aut], Pascal Title [aut, cre] , Carlos Anderson [aut], Jeff Shi [aut], Joseph Brown [aut], Huateng Huang [aut], Jon Mitchell [aut]
Maintainer: Pascal Title <[email protected]>

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Package ecorest updated to version 2.0.0 with previous version 1.0.0 dated 2020-06-26

Title: Conducts Analyses Informing Ecosystem Restoration Decisions
Description: Three sets of data and functions for informing ecosystem restoration decisions, particularly in the context of the U.S. Army Corps of Engineers. First, model parameters are compiled as a data set and associated metadata for over 300 habitat suitability models developed by the U.S. Fish and Wildlife Service (USFWS 1980, <https://www.fws.gov/policy-library/870fw1>). Second, functions for conducting habitat suitability analyses both for the models described above as well as generic user-specified model parameterizations. Third, a suite of decision support tools for conducting cost-effectiveness and incremental cost analyses (Robinson et al. 1995, IWR Report 95-R-1, U.S. Army Corps of Engineers).
Author: S. Kyle McKay [aut, cre] , Darixa D. Hernandez-Abrams [aut], Kiara C. Cushway [aut]
Maintainer: S. Kyle McKay <[email protected]>

Diff between ecorest versions 1.0.0 dated 2020-06-26 and 2.0.0 dated 2024-09-12

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Package csranks updated to version 1.2.3 with previous version 1.2.2 dated 2024-01-24

Title: Statistical Tools for Ranks
Description: Account for uncertainty when working with ranks. Estimate standard errors consistently in linear regression with ranked variables. Construct confidence sets of various kinds for positions of populations in a ranking based on values of a certain feature and their estimation errors. Theory based on Mogstad, Romano, Shaikh, and Wilhelm (2023)<doi:10.1093/restud/rdad006> and Chetverikov and Wilhelm (2023) <doi:10.48550/arXiv.2310.15512>.
Author: Daniel Wilhelm [aut, cre], Pawel Morgen [aut]
Maintainer: Daniel Wilhelm <[email protected]>

Diff between csranks versions 1.2.2 dated 2024-01-24 and 1.2.3 dated 2024-09-12

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Package Colossus updated to version 1.1.3.1 with previous version 1.1.3 dated 2024-09-06

Title: "Risk Model Regression and Analysis with Complex Non-Linear Models"
Description: Performs survival analysis using general non-linear models. Risk models can be the sum or product of terms. Each term is the product of exponential/linear functions of covariates. Additionally sub-terms can be defined as a sum of exponential, linear threshold, and step functions. Cox Proportional hazards <https://en.wikipedia.org/wiki/Proportional_hazards_model>, Poisson <https://en.wikipedia.org/wiki/Poisson_regression>, and Fine-Grey competing risks <https://www.publichealth.columbia.edu/research/population-health-methods/competing-risk-analysis> regression are supported. This work was sponsored by NASA Grant 80NSSC19M0161 through a subcontract from the National Council on Radiation Protection and Measurements (NCRP). The computing for this project was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109.
Author: Eric Giunta [aut, cre] , Amir Bahadori [ctb] , Dan Andresen [ctb], Linda Walsh [ctb] , Benjamin French [ctb] , Lawrence Dauer [ctb], John Boice Jr [ctb] , Kansas State University [cph], NASA [fnd], NCRP [fnd], NRC [fnd]
Maintainer: Eric Giunta <[email protected]>

Diff between Colossus versions 1.1.3 dated 2024-09-06 and 1.1.3.1 dated 2024-09-12

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Package caretEnsemble updated to version 4.0.1 with previous version 4.0.0 dated 2024-08-17

Title: Ensembles of Caret Models
Description: Functions for creating ensembles of caret models: caretList() and caretStack(). caretList() is a convenience function for fitting multiple caret::train() models to the same dataset. caretStack() will make linear or non-linear combinations of these models, using a caret::train() model as a meta-model.
Author: Zachary A. Deane-Mayer [aut, cre, cph], Jared E. Knowles [ctb], Anton Lopez [ctb]
Maintainer: Zachary A. Deane-Mayer <[email protected]>

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Package maldipickr updated to version 1.3.1 with previous version 1.3.0 dated 2023-12-14

Title: Dereplicate and Cherry-Pick Mass Spectrometry Spectra
Description: Convenient wrapper functions for the analysis of matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) spectra data in order to select only representative spectra (also called cherry-pick). The package covers the preprocessing and dereplication steps (based on Strejcek, Smrhova, Junkova and Uhlik (2018) <doi:10.3389/fmicb.2018.01294>) needed to cluster MALDI-TOF spectra before the final cherry-picking step. It enables the easy exclusion of spectra and/or clusters to accommodate complex cherry-picking strategies. Alternatively, cherry-picking using taxonomic identification MALDI-TOF data is made easy with functions to import inconsistently formatted reports.
Author: Charlie Pauvert [aut, cre, cph] , David Wylensek [ctb] , Selina Nuechtern [ctb], Thomas Clavel [ctb, fnd, cph]
Maintainer: Charlie Pauvert <[email protected]>

Diff between maldipickr versions 1.3.0 dated 2023-12-14 and 1.3.1 dated 2024-09-12

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New package wither with initial version 0.1.0
Package: wither
Title: Temporarily Change Project Root
Version: 0.1.0
Description: Lets you temporarily execute an expression or a local block with a different here() root in the 'here' package. This is useful for sourcing code in other projects which expect the root directory of here() to be the project directory of those projects. This may be the case with git submodules for example.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: devtools, testthat (>= 3.0.0)
Imports: fs, here, withr
URL: https://github.com/torbjorn/wither
BugReports: https://github.com/torbjorn/wither/issues
NeedsCompilation: no
Packaged: 2024-09-10 10:33:15 UTC; tlindahl
Author: Torbjoern Lindahl [aut, cre, cph] , Anja Minsaas [aut]
Maintainer: Torbjoern Lindahl <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 17:40:02 UTC

More information about wither at CRAN
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New package wdi2 with initial version 0.1.0
Package: wdi2
Title: Download World Development Indicators from the World Bank Indicators API
Version: 0.1.0
Description: A modern, flexible interface for accessing the World Bank’s World Development Indicators (WDI) API <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>. Similar to the existing 'WDI' package, 'wdi2' allows users to download, process, and analyze indicator data for multiple countries and years. However, 'wdi2' differs by relying on 'httr2' for multi-page request and error handling, providing support for downloading multiple indicators with a single function call, using progress bars to keep users informed about the data processing, and returning the processed data in a tidy data format in line with Wickham (2014) <doi:10.18637/jss.v059.i10>.
License: MIT + file LICENSE
URL: https://github.com/tidy-intelligence/r-wdi2
BugReports: https://github.com/tidy-intelligence/r-wdi2/issues
Depends: R (>= 4.1)
Imports: cli, dplyr (>= 1.0.0), httr2 (>= 1.0.0), purrr (>= 1.0.0), tibble, tidyr (>= 1.0.0)
Suggests: knitr, rmarkdown, testthat (>= 3.2.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-09-10 11:44:55 UTC; krise
Author: Christoph Scheuch [aut, cre]
Maintainer: Christoph Scheuch <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 17:50:02 UTC

More information about wdi2 at CRAN
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Package vglmer updated to version 1.0.5 with previous version 1.0.3 dated 2022-10-27

Title: Variational Inference for Hierarchical Generalized Linear Models
Description: Estimates hierarchical models using mean-field variational Bayes. At present, it can estimate logistic, linear, and negative binomial models. It can accommodate models with an arbitrary number of random effects and requires no integration to estimate. It also provides the ability to improve the quality of the approximation using marginal augmentation. Goplerud (2022) <doi:10.1214/21-BA1266> and Goplerud (2024) <doi:10.1017/S0003055423000035> provide details on the variational algorithms.
Author: Max Goplerud [aut, cre]
Maintainer: Max Goplerud <[email protected]>

Diff between vglmer versions 1.0.3 dated 2022-10-27 and 1.0.5 dated 2024-09-12

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Package trekcolors updated to version 0.2.0 with previous version 0.1.3 dated 2021-06-01

Title: Star Trek Color Palettes
Description: Provides a dataset of predefined color palettes based on the Star Trek science fiction series, associated color palette functions, and additional functions for generating customized palettes that are on theme. The package also offers functions for applying the palettes to plots made using the 'ggplot2' package.
Author: Matthew Leonawicz [aut, cre]
Maintainer: Matthew Leonawicz <[email protected]>

Diff between trekcolors versions 0.1.3 dated 2021-06-01 and 0.2.0 dated 2024-09-12

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More information about trekcolors at CRAN
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Package naaccr updated to version 3.0.1 with previous version 2.0.2 dated 2022-11-23

Title: Read Cancer Records in the NAACCR Format
Description: Functions for reading cancer record files which follow a format defined by the North American Association of Central Cancer Registries (NAACCR).
Author: Nathan Werth [aut, cre], Pennsylvania Department of Health [cph], North American Association of Cancer Registries [cph], World Health Organization [cph], United States Centers for Disease Control and Prevention [cph], United States Bureau of the Cens [...truncated...]
Maintainer: Nathan Werth <[email protected]>

Diff between naaccr versions 2.0.2 dated 2022-11-23 and 3.0.1 dated 2024-09-12

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More information about naaccr at CRAN
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Package biostats101 updated to version 0.1.1 with previous version 0.1.0 dated 2024-09-04

Title: Practical Functions for Biostatistics Beginners
Description: A set of user-friendly functions designed to fill gaps in existing introductory biostatistics R tools, making it easier for newcomers to perform basic biostatistical analyses without needing advanced programming skills. The methods implemented in this package are based on the works: Connor (1987) <doi:10.2307/2531961> Fleiss, Levin, & Paik (2013, ISBN:978-1-118-62561-3) Levin & Chen (1999) <doi:10.1080/00031305.1999.10474431> McNemar (1947) <doi:10.1007/BF02295996>.
Author: Marina Mautner Wizentier [aut, cre] , Melody S. Goodman [aut] , Jemar R. Bather [aut]
Maintainer: Marina Mautner Wizentier <[email protected]>

Diff between biostats101 versions 0.1.0 dated 2024-09-04 and 0.1.1 dated 2024-09-12

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More information about biostats101 at CRAN
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New package tidycountries with initial version 0.0.1
Package: tidycountries
Title: Access and Manipulate Comprehensive Country Level Data in Tidy Format
Version: 0.0.1
Description: A comprehensive and user-friendly interface for accessing, manipulating, and analyzing country-level data from around the world. It allows users to retrieve detailed information on countries, including names, regions, continents, populations, currencies, calling codes, and more, all in a tidy data format. The package is designed to work seamlessly within the 'tidyverse' ecosystem, making it easy to filter, arrange, and visualize country-level data in R.
License: MIT + file LICENSE
URL: https://github.com/denironyx/tidycountries
BugReports: https://github.com/denironyx/tidycountries/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dplyr, stringr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-09-10 07:00:16 UTC; Dee
Author: Dennis Irorere [aut, cre, cph]
Maintainer: Dennis Irorere <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 17:30:02 UTC

More information about tidycountries at CRAN
Permanent link

New package surreal with initial version 0.0.1
Package: surreal
Title: Create Datasets with Hidden Images in Residual Plots
Version: 0.0.1
Description: Implements the "Residual (Sur)Realism" algorithm described by Stefanski (2007) <doi:10.1198/000313007X190079> to generate datasets that reveal hidden images or messages in their residual plots. It offers both predefined datasets and tools to embed custom text or images into residual structures. Allowing users to create intriguing visual demonstrations for teaching model diagnostics.
License: GPL (>= 3)
Depends: R (>= 4.3.0)
Encoding: UTF-8
URL: https://github.com/coatless-rpkg/surreal, https://r-pkg.thecoatlessprofessor.com/surreal/
BugReports: https://github.com/coatless-rpkg/surreal/issues
LazyData: true
Imports: png
NeedsCompilation: no
Packaged: 2024-09-10 04:29:43 UTC; ronin
Author: James Joseph Balamuta [aut, cre, cph]
Maintainer: James Joseph Balamuta <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 17:20:02 UTC

More information about surreal at CRAN
Permanent link

Package SSplots updated to version 0.1.2 with previous version 0.1.1 dated 2023-05-08

Title: Stock Status Plots (SSPs)
Description: Pauly et al. (2008) <http://legacy.seaaroundus.s3.amazonaws.com/doc/Researcher+Publications/dpauly/PDF/2008/Books%26Chapters/FisheriesInLargeMarineEcosystems.pdf> created (and coined the name) 'Stock Status Plots' for a UNEP compendium on Large Marine Ecosystems(LMEs, Sherman and Hempel (2009)<https://marineinfo.org/imis?module=ref&refid=142061&printversion=1&dropIMIStitle=1>). Stock status plots are bivariate graphs summarizing the status (e.g., developing, fully exploited, overexploited, etc.), through time, of the multispecies fisheries of a fished area or ecosystem. This package contains three functions to generate stock status plots viz., SSplots_pauly() (as per the criteria proposed by Pauly et al.,2008), SSplots_kleisner() (as per the criteria proposed by Kleisner and Pauly (2011) <http://www.ecomarres.com/downloads/regional.pdf> and Kleisner et al. (2013) <doi:10.1111/j.1467-2979.2012.00469.x>)and SSplots_EPI() (as per the criteria proposed b [...truncated...]
Author: Eldho Varghese [aut, cre], J Jayasankar [aut], Sreepriya V [aut], Reshma Gills [ctb], Ashutosh Dalal [ctb]
Maintainer: Eldho Varghese <[email protected]>

Diff between SSplots versions 0.1.1 dated 2023-05-08 and 0.1.2 dated 2024-09-12

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New package splusTimeDate with initial version 2.5.8
Package: splusTimeDate
Version: 2.5.8
Title: Times and Dates from 'S-PLUS'
Depends: R (>= 2.12.0), methods, stats
Description: A collection of classes and methods for working with times and dates. The code was originally available in 'S-PLUS'.
License: BSD_3_clause + file LICENSE
URL: https://github.com/spkaluzny/splusTimeDate
BugReports: https://github.com/spkaluzny/splusTimeDate/issues
NeedsCompilation: yes
Packaged: 2024-09-09 23:30:48 UTC; spk
Author: Stephen Kaluzny [aut, cre], TIBCO Software Inc. [aut, cph]
Maintainer: Stephen Kaluzny <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 17:20:05 UTC

More information about splusTimeDate at CRAN
Permanent link

Package ps updated to version 1.8.0 with previous version 1.7.7 dated 2024-07-02

Title: List, Query, Manipulate System Processes
Description: List, query and manipulate all system processes, on 'Windows', 'Linux' and 'macOS'.
Author: Jay Loden [aut], Dave Daeschler [aut], Giampaolo Rodola' [aut], Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <[email protected]>

Diff between ps versions 1.7.7 dated 2024-07-02 and 1.8.0 dated 2024-09-12

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More information about ps at CRAN
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Package pkgdepends updated to version 0.8.0 with previous version 0.7.2 dated 2024-03-17

Title: Package Dependency Resolution and Downloads
Description: Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain a consistent set of packages to install. Download packages, and install them. It supports packages on 'CRAN', 'Bioconductor' and other 'CRAN-like' repositories, 'GitHub', package 'URLs', and local package trees and files. It caches metadata and package files via the 'pkgcache' package, and performs all 'HTTP' requests, downloads, builds and installations in parallel. 'pkgdepends' is the workhorse of the 'pak' package.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <[email protected]>

Diff between pkgdepends versions 0.7.2 dated 2024-03-17 and 0.8.0 dated 2024-09-12

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More information about pkgdepends at CRAN
Permanent link

Package pkgcache updated to version 2.2.3 with previous version 2.2.2 dated 2024-04-04

Title: Cache 'CRAN'-Like Metadata and R Packages
Description: Metadata and package cache for CRAN-like repositories. This is a utility package to be used by package management tools that want to take advantage of caching.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <[email protected]>

Diff between pkgcache versions 2.2.2 dated 2024-04-04 and 2.2.3 dated 2024-09-12

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More information about pkgcache at CRAN
Permanent link

Package pcalg updated to version 2.7-12 with previous version 2.7-11 dated 2024-02-12

Title: Methods for Graphical Models and Causal Inference
Description: Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC) and some related functions are implemented. Functions for incorporating background knowledge are provided.
Author: Markus Kalisch [aut, cre], Alain Hauser [aut], Martin Maechler [aut], Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb], Antti Hyttinen [ctb], Jonas Peters [ctb], Nicoletta Andri [ctb], Emilija Perkovic [ctb], Preetam Nandy [ctb], Philipp R [...truncated...]
Maintainer: Markus Kalisch <[email protected]>

Diff between pcalg versions 2.7-11 dated 2024-02-12 and 2.7-12 dated 2024-09-12

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New package noegletalR with initial version 0.2.1
Package: noegletalR
Title: Tidy Tibbles of Noegletal
Version: 0.2.1
Description: Work with data from <https://noegletal.dk> in a tidy manner. Tidy up previously downloaded data or retrieve new data directly from the comfort of R. You can also browse an up-to-date list of available data, including thorough variable descriptions.
License: MIT + file LICENSE
Imports: dplyr, httr, readr, rlang, rvest, stringr, tibble, tidyr
Encoding: UTF-8
URL: https://github.com/FrLars21/noegletalR
BugReports: https://github.com/FrLars21/noegletalR/issues
NeedsCompilation: no
Packaged: 2024-09-10 09:25:03 UTC; frederik
Author: Frederik Larsen [aut, cre, cph]
Maintainer: Frederik Larsen <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 17:40:34 UTC

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New package MRG with initial version 0.2.14
Package: MRG
Title: Create Non-Confidential Multi-Resolution Grids
Version: 0.2.14
Maintainer: Jon Olav Skoien <[email protected]>
Imports: magrittr, parallel, terra, sf, stars, plyr, dplyr, rlang, sjmisc, vardpoor, purrr, tidyr, tidyselect, methods
Suggests: ggplot2, patchwork, viridis, knitr, rmarkdown, giscoR, bookdown, units, ggforce, kableExtra
Description: Functionality for creating gridded data, respecting the confidentiality rules, such as a minimum number of units and dominance by one or more units in the grid cell. The functions also include the possibility for contextual suppression of data.
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Depends: R (>= 3.5.0)
LazyData: true
Packaged: 2024-09-10 07:39:55 UTC; skoiejo
Author: Jon Olav Skoien [aut, cre], Nicolas Lampach [aut]
Repository: CRAN
Date/Publication: 2024-09-12 17:40:59 UTC

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Package lpSolve updated to version 5.6.21 with previous version 5.6.20 dated 2023-12-10

Title: Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
Description: Lp_solve is freely available (under LGPL 2) software for solving linear, integer and mixed integer programs. In this implementation we supply a "wrapper" function in C and some R functions that solve general linear/integer problems, assignment problems, and transportation problems. This version calls lp_solve version 5.5.
Author: Gabor Csardi [cre], Michel Berkelaar [aut]
Maintainer: Gabor Csardi <[email protected]>

Diff between lpSolve versions 5.6.20 dated 2023-12-10 and 5.6.21 dated 2024-09-12

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Package LocalCop updated to version 0.0.2 with previous version 0.0.1 dated 2024-03-21

Title: Local Likelihood Inference for Conditional Copula Models
Description: Implements a local likelihood estimator for the dependence parameter in bivariate conditional copula models. Copula family and local likelihood bandwidth parameters are selected by leave-one-out cross-validation. The models are implemented in 'TMB', meaning that the local score function is efficiently calculated via automated differentiation (AD), such that quasi-Newton algorithms may be used for parameter estimation.
Author: Elif Fidan Acar [aut], Martin Lysy [aut, cre], Alan Kuchinsky [ctb]
Maintainer: Martin Lysy <[email protected]>

Diff between LocalCop versions 0.0.1 dated 2024-03-21 and 0.0.2 dated 2024-09-12

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New package LPDynR with initial version 1.0.5
Package: LPDynR
Title: Land Productivity Dynamics Indicator
Version: 1.0.5
Description: It uses 'phenological' and productivity-related variables derived from time series of vegetation indexes, such as the Normalized Difference Vegetation Index, to assess ecosystem dynamics and change, which eventually might drive to land degradation. The final result of the Land Productivity Dynamics indicator is a categorical map with 5 classes of land productivity dynamics, ranging from declining to increasing productivity. See www.sciencedirect.com/science/article/pii/S1470160X21010517/ for a description of the methods used in the package to calculate the indicator.
Depends: R (>= 3.6.0)
Imports: stats, dplyr, data.table, virtualspecies, magrittr, terra
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/xavi-rp/LPDynR
BugReports: https://github.com/xavi-rp/LPDynR/issues
NeedsCompilation: no
Packaged: 2024-09-10 10:36:06 UTC; xavi_rp
Author: Xavier Rotllan-Puig [aut, cre], Eva Ivits [aut], Michael Cherlet [aut]
Maintainer: Xavier Rotllan-Puig <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 17:41:07 UTC

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New package lavaangui with initial version 0.1.2
Package: lavaangui
Title: Graphical User Interface with Integrated 'Diagrammer' for 'Lavaan'
Version: 0.1.2
Description: Provides a graphical user interface with an integrated diagrammer for latent variables from the 'lavaan' package. It offers two core functions: first, lavaangui() launches a web application that allows users to specify models by drawing path diagrams, fitting them, assessing model fit, and more; second, plot_interactive() creates interactive path diagrams from models specified in 'lavaan'. Karch (2024) <doi: 10.31234/osf.io/f4ary> contains a tutorial.
URL: https://solo-fsw.shinyapps.io/lavaangui/, https://github.com/karchjd/lavaangui
BugReports: https://github.com/karchjd/lavaangui/issues
License: GPL (>= 3)
Imports: base64enc (>= 0.1.3), future (>= 1.33.0), haven (>= 2.5.3), jsonlite (>= 1.8.4), lavaan (>= 0.6.15), promises (>= 1.2.0.1), readr (>= 2.1.4), readxl (>= 1.4.3), shiny (>= 1.7.4), methods (>= 4.3.3), colorspace (>= 2.1.0), igraph (>= 2.0.3), qgraph (>= 1.9.8), tools (>= 4.3.3), utils (>= 4.3.3), DT (>= 0.33), plyr (>= 1.8.9), htmlwidgets (>= 1.6.4), digest (>= 0.6.35)
Encoding: UTF-8
Date: 2024-09-04
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2024-09-10 13:43:58 UTC; karch
Author: Julian D. Karch [aut, cre, cph]
Maintainer: Julian D. Karch <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 17:50:06 UTC

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Package intRinsic updated to version 1.1.0 with previous version 1.0.2 dated 2024-01-15

Title: Likelihood-Based Intrinsic Dimension Estimators
Description: Provides functions to estimate the intrinsic dimension of a dataset via likelihood-based approaches. Specifically, the package implements the 'TWO-NN' and 'Gride' estimators and the 'Hidalgo' Bayesian mixture model. In addition, the first reference contains an extended vignette on the usage of the 'TWO-NN' and 'Hidalgo' models. References: Denti (2023, <doi:10.18637/jss.v106.i09>); Allegra et al. (2020, <doi:10.1038/s41598-020-72222-0>); Denti et al. (2022, <doi:10.1038/s41598-022-20991-1>); Facco et al. (2017, <doi:10.1038/s41598-017-11873-y>); Santos-Fernandez et al. (2021, <doi:10.1038/s41598-022-20991-1>).
Author: Francesco Denti [aut, cre, cph] , Andrea Gilardi [aut]
Maintainer: Francesco Denti <[email protected]>

Diff between intRinsic versions 1.0.2 dated 2024-01-15 and 1.1.0 dated 2024-09-12

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Package ichimoku updated to version 1.5.5 with previous version 1.5.4 dated 2024-08-18

Title: Visualization and Tools for Ichimoku Kinko Hyo Strategies
Description: An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <[email protected]>

Diff between ichimoku versions 1.5.4 dated 2024-08-18 and 1.5.5 dated 2024-09-12

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 man/tradingDays.Rd             |   10 +--
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 src/shikokuchuo.c              |   78 +++++++++++++----------------
 tests/testthat/test-ichimoku.R |   11 ++--
 tests/testthat/test-mltools.R  |   15 +++--
 tests/testthat/test-strat.R    |   14 +++--
 tests/testthat/test-utils.R    |    6 --
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Package formatters updated to version 0.5.9 with previous version 0.5.8 dated 2024-06-19

Title: ASCII Formatting for Values and Tables
Description: We provide a framework for rendering complex tables to ASCII, and a set of formatters for transforming values or sets of values into ASCII-ready display strings.
Author: Gabriel Becker [aut] , Adrian Waddell [aut], Davide Garolini [ctb], Emily de la Rua [ctb], Abinaya Yogasekaram [ctb], Joe Zhu [ctb, cre], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <[email protected]>

Diff between formatters versions 0.5.8 dated 2024-06-19 and 0.5.9 dated 2024-09-12

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Package FeatureExtraction updated to version 3.7.1 with previous version 3.7.0 dated 2024-09-03

Title: Generating Features for a Cohort
Description: An R interface for generating features for a cohort using data in the Common Data Model. Features can be constructed using default or custom made feature definitions. Furthermore it's possible to aggregate features and get the summary statistics.
Author: Martijn Schuemie [aut], Marc Suchard [aut], Patrick Ryan [aut], Jenna Reps [aut], Anthony Sena [aut], Ger Inberg [aut, cre], Observational Health Data Science and Informatics [cph]
Maintainer: Ger Inberg <[email protected]>

Diff between FeatureExtraction versions 3.7.0 dated 2024-09-03 and 3.7.1 dated 2024-09-12

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Package esci updated to version 1.0.4 with previous version 1.0.3 dated 2024-07-08

Title: Estimation Statistics with Confidence Intervals
Description: A collection of functions and 'jamovi' module for the estimation approach to inferential statistics, the approach which emphasizes effect sizes, interval estimates, and meta-analysis. Nearly all functions are based on 'statpsych' and 'metafor'. This package is still under active development, and breaking changes are likely, especially with the plot and hypothesis test functions. Data sets are included for all examples from Cumming & Calin-Jageman (2024) <ISBN:9780367531508>.
Author: Robert Calin-Jageman [aut, cre, cph]
Maintainer: Robert Calin-Jageman <[email protected]>

Diff between esci versions 1.0.3 dated 2024-07-08 and 1.0.4 dated 2024-09-12

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Package eodhdR2 updated to version 0.5.1 with previous version 0.5.0 dated 2024-09-03

Title: Official R API for Fetching Data from 'EODHD'
Description: Second and backward-incompatible version of R package 'eodhd' <https://eodhd.com/>, extended with a cache and quota system, also offering functions for cleaning and aggregating the financial data.
Author: Marcelo S. Perlin [aut, cre, ctr], Unicorn Data Services [cph]
Maintainer: Marcelo S. Perlin <[email protected]>

Diff between eodhdR2 versions 0.5.0 dated 2024-09-03 and 0.5.1 dated 2024-09-12

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New package corbouli with initial version 0.1.0
Package: corbouli
Title: Corbae-Ouliaris Frequency Domain Filtering
Version: 0.1.0
Maintainer: Christos Adam <[email protected]>
Description: Corbae-Ouliaris frequency domain filtering. According to Corbae and Ouliaris (2006) <doi:10.1017/CBO9781139164863.008>, this is a solution for taking into account characteristics of the time series, like business cycles etc. when filtering, both stationary and non-stationary time series.
License: GPL-3
Encoding: UTF-8
URL: https://github.com/cadam00/corbouli
BugReports: https://github.com/cadam00/corbouli/issues
LazyData: true
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-09-10 05:33:30 UTC; Administrator
Author: Christos Adam [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-12 17:30:09 UTC

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Package betareg updated to version 3.2-1 with previous version 3.2-0 dated 2024-07-07

Title: Beta Regression
Description: Beta regression for modeling beta-distributed dependent variables on the open unit interval (0, 1), e.g., rates and proportions, see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. Moreover, extended-support beta regression models can accommodate dependent variables with boundary observations at 0 and/or 1. For the classical beta regression model, alternative specifications are provided: Bias-corrected and bias-reduced estimation, finite mixture models, and recursive partitioning for beta regression, see Grün, Kosmidis, and Zeileis (2012) <doi:10.18637/jss.v048.i11>.
Author: Achim Zeileis [aut, cre] , Francisco Cribari-Neto [aut] , Bettina Gruen [aut] , Ioannis Kosmidis [aut] , Alexandre B. Simas [ctb] , Andrea V. Rocha [ctb]
Maintainer: Achim Zeileis <[email protected]>

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Package archive updated to version 1.1.9 with previous version 1.1.8 dated 2024-04-28

Title: Multi-Format Archive and Compression Support
Description: Bindings to 'libarchive' <http://www.libarchive.org> the Multi-format archive and compression library. Offers R connections and direct extraction for many archive formats including 'tar', 'ZIP', '7-zip', 'RAR', 'CAB' and compression formats including 'gzip', 'bzip2', 'compress', 'lzma' and 'xz'.
Author: Jim Hester [aut] , Gabor Csardi [aut, cre], Ondrej Holy [cph] , RStudio [cph, fnd]
Maintainer: Gabor Csardi <[email protected]>

Diff between archive versions 1.1.8 dated 2024-04-28 and 1.1.9 dated 2024-09-12

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Package antaresRead updated to version 2.7.2 with previous version 2.7.1 dated 2024-08-30

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <[email protected]>

Diff between antaresRead versions 2.7.1 dated 2024-08-30 and 2.7.2 dated 2024-09-12

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Package abind updated to version 1.4-8 with previous version 1.4-5 dated 2016-07-21

Title: Combine Multidimensional Arrays
Description: Combine multidimensional arrays into a single array. This is a generalization of 'cbind' and 'rbind'. Works with vectors, matrices, and higher-dimensional arrays (aka tensors). Also provides functions 'adrop', 'asub', and 'afill' for manipulating, extracting and replacing data in arrays.
Author: Tony Plate [aut, cre], Richard Heiberger [aut]
Maintainer: Tony Plate <[email protected]>

Diff between abind versions 1.4-5 dated 2016-07-21 and 1.4-8 dated 2024-09-12

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Package tensorBSS updated to version 0.3.9 with previous version 0.3.8 dated 2021-06-02

Title: Blind Source Separation Methods for Tensor-Valued Observations
Description: Contains several utility functions for manipulating tensor-valued data (centering, multiplication from a single mode etc.) and the implementations of the following blind source separation methods for tensor-valued data: 'tPCA', 'tFOBI', 'tJADE', k-tJADE', 'tgFOBI', 'tgJADE', 'tSOBI', 'tNSS.SD', 'tNSS.JD', 'tNSS.TD.JD', 'tPP' and 'tTUCKER'.
Author: Joni Virta [aut, cre] , Christoph L. Koesner [aut] , Bing Li [aut], Klaus Nordhausen [aut] , Hannu Oja [aut], Una Radojicic [aut]
Maintainer: Joni Virta <[email protected]>

Diff between tensorBSS versions 0.3.8 dated 2021-06-02 and 0.3.9 dated 2024-09-12

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Package pooledpeaks updated to version 1.0.6 with previous version 1.0.5 dated 2024-09-03

Title: Genetic Analysis of Pooled Samples
Description: Analyzing genetic data obtained from pooled samples. This package can read in Fragment Analysis output files, process the data, and score peaks, as well as facilitate various analyses, including cluster analysis, calculation of genetic distances and diversity indices, as well as bootstrap resampling for statistical inference. Specifically tailored to handle genetic data efficiently, researchers can explore population structure, genetic differentiation, and genetic relatedness among samples. We updated some functions from Covarrubias-Pazaran et al. (2016) <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats and referenced the following to write our genetic analysis functions: Long et al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008) <doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973) <doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006) <doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008) <doi:10.1111/j.1541-0420.2008.01010 [...truncated...]
Author: Kathleen Kuesters [aut, cre, cph] , Jeffrey Long [aut], Jessica Blanton [aut], Walter Blank [ctb], Jeffrey Kovach [ctb], Ronald Blanton [ctb]
Maintainer: Kathleen Kuesters <[email protected]>

Diff between pooledpeaks versions 1.0.5 dated 2024-09-03 and 1.0.6 dated 2024-09-12

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Package MoNAn updated to version 1.1.0 with previous version 1.0.0 dated 2024-04-25

Title: Mobility Network Analysis
Description: Implements the method to analyse weighted mobility networks or distribution networks as outlined in: Block, P., Stadtfeld, C., & Robins, G. (2022) <doi:10.1016/j.socnet.2021.08.003>. The purpose of the model is to analyse the structure of mobility, incorporating exogenous predictors pertaining to individuals and locations known from classical mobility analyses, as well as modelling emergent mobility patterns akin to structural patterns known from the statistical analysis of social networks.
Author: Per Block [cre, aut, cph] , Christoph Stadtfeld [aut] , Nico Keiser [aut] , Marion Hoffman [aut]
Maintainer: Per Block <[email protected]>

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New package fdicdata with initial version 0.1.1
Package: fdicdata
Title: Accessing FDIC Bank Data
Version: 0.1.1
Description: Retrieves financial data from Federal Deposit Insurance Corporation (FDIC)-insured institutions and provides access to the FDIC data taxonomy.
License: MIT + file LICENSE
URL: https://github.com/visbanking/fdicdata, https://visbanking.com/opensource/
BugReports: https://github.com/visbanking/fdicdata/issues
Imports: dplyr, httr, yaml
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-09-12 00:22:05 UTC; ugurdar
Author: Ugur Dar [aut, cre], Brian Pillmore [aut, cph]
Maintainer: Ugur Dar <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 16:10:06 UTC

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Package toxpiR updated to version 1.3.0 with previous version 1.2.1 dated 2022-07-20

Title: Create ToxPi Prioritization Models
Description: Enables users to build 'ToxPi' prioritization models and provides functionality within the grid framework for plotting ToxPi graphs. 'toxpiR' allows for more customization than the 'ToxPi GUI' (<https://toxpi.org>) and integration into existing workflows for greater ease-of-use, reproducibility, and transparency. toxpiR package behaves nearly identically to the GUI; the package documentation includes notes about all differences. The vignettes download example files from <https://github.com/ToxPi/ToxPi-example-files>.
Author: Jonathon F Fleming [aut, cre] , Dayne L Filer [aut, fnd] , Dillon T Lloyd [aut], Preethi Thunga [aut] , Skylar W Marvel [aut], Alison A Motsinger-Reif [fnd] , David M Reif [aut, fnd]
Maintainer: Jonathon F Fleming <[email protected]>

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Package GSODR updated to version 4.1.2 with previous version 4.1.1 dated 2024-07-23

Title: Global Surface Summary of the Day ('GSOD') Weather Data Client
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day ('GSOD') weather data from the from the USA National Centers for Environmental Information ('NCEI'). Units are converted from from United States Customary System ('USCS') units to International System of Units ('SI'). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure ('es'), actual vapour pressure ('ea') and relative humidity ('RH') are calculated from the original data using the improved August-Roche-Magnus approximation (Alduchov & Eskridge 1996) and included in the final data set. The resulting metadata include station identification information, country, state, latitude, longitude, elevation, weather observatio [...truncated...]
Author: Adam H. Sparks [aut, cre] , Tomislav Hengl [aut] , Andrew Nelson [aut] , Hugh Parsonage [cph, ctb] , Taras Kaduk [ctb] , Gwenael Giboire [ctb] , Lukasz Pawlik [ctb] , Ross Darnell [ctb] , Tyler Widdison [ctb] ` did not return stations in order of nea [...truncated...]
Maintainer: Adam H. Sparks <[email protected]>

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Package diffcor updated to version 0.8.4 with previous version 0.8.3 dated 2024-05-03

Title: Fisher's z-Tests Concerning Differences Between Correlations
Description: Computations of Fisher's z-tests concerning different kinds of correlation differences. The 'diffpwr' family entails approaches to estimating statistical power via Monte Carlo simulations. Important to note, the Pearson correlation coefficient is sensitive to linear association, but also to a host of statistical issues such as univariate and bivariate outliers, range restrictions, and heteroscedasticity (e.g., Duncan & Layard, 1973 <doi:10.1093/BIOMET/60.3.551>; Wilcox, 2013 <doi:10.1016/C2010-0-67044-1>). Thus, every power analysis requires that specific statistical prerequisites are fulfilled and can be invalid if the prerequisites do not hold. To this end, the 'bootcor' family provides bootstrapping confidence intervals for the incorporated correlation difference tests.
Author: Christian Bloetner [aut, cre]
Maintainer: Christian Bloetner <[email protected]>

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Package shinyGovstyle updated to version 0.1.0 with previous version 0.0.8 dated 2022-02-22

Title: Custom Gov Style Inputs for Shiny
Description: Collection of 'shiny' application styling that are the based on the GOV.UK Design System. See <https://design-system.service.gov.uk/components/> for details.
Author: Ross Wyatt [aut, cre], Cameron Race [ctb], Sarah Wong [ctb], Richard Bielby [ctb], Charlotte Foster [ctb], Jeni Martin [ctb]
Maintainer: Ross Wyatt <[email protected]>

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Package semEff updated to version 0.7.2 with previous version 0.6.1 dated 2022-08-22

Title: Automatic Calculation of Effects for Piecewise Structural Equation Models
Description: Automatically calculate direct, indirect, and total effects for piecewise structural equation models, comprising lists of fitted models representing structured equations (Lefcheck, 2016 <doi:10/f8s8rb>). Confidence intervals are provided via bootstrapping.
Author: Mark V. Murphy [aut, cre]
Maintainer: Mark V. Murphy <[email protected]>

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Package piar updated to version 0.8.1 with previous version 0.7.0 dated 2024-03-08

Title: Price Index Aggregation
Description: Most price indexes are made with a two-step procedure, where period-over-period elemental indexes are first calculated for a collection of elemental aggregates at each point in time, and then aggregated according to a price index aggregation structure. These indexes can then be chained together to form a time series that gives the evolution of prices with respect to a fixed base period. This package contains a collection of functions that revolve around this work flow, making it easy to build standard price indexes, and implement the methods described by Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007, <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020, <doi:10.5089/9781484354841.069>) for bilateral price indexes.
Author: Steve Martin [aut, cre, cph]
Maintainer: Steve Martin <[email protected]>

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Package mlr3torch updated to version 0.1.1 with previous version 0.1.0 dated 2024-07-08

Title: Deep Learning with 'mlr3'
Description: Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It allows to conveniently build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.
Author: Sebastian Fischer [cre, aut] , Bernd Bischl [ctb] , Lukas Burk [ctb] , Martin Binder [aut], Florian Pfisterer [ctb]
Maintainer: Sebastian Fischer <[email protected]>

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More information about mlr3torch at CRAN
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Package GeDS updated to version 0.2.4 with previous version 0.2.3 dated 2024-07-19

Title: Geometrically Designed Spline Regression
Description: Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a non-parametric method inspired by geometric principles, for fitting spline regression models with variable knots in one or two independent variables. It efficiently estimates the number of knots and their positions, as well as the spline order, assuming the response variable follows a distribution from the exponential family. GeDS models integrate the broader category of Generalized (Non-)Linear Models, offering a flexible approach to modeling complex relationships. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023) <doi:10.1016/j.amc.2022.127493>. Further extending its capabilities, GeDS's implementation includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB), enabling versatile multivariate predictor modeling, as discuss [...truncated...]
Author: Dimitrina S. Dimitrova [aut], Emilio S. Guillen [aut, cre], Vladimir K. Kaishev [aut], Andrea Lattuada [aut], Richard J. Verrall [aut]
Maintainer: Emilio S. Guillen <[email protected]>

Diff between GeDS versions 0.2.3 dated 2024-07-19 and 0.2.4 dated 2024-09-12

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Package tm.plugin.mail updated to version 0.3-1 with previous version 0.3-0 dated 2024-08-16

Title: Text Mining E-Mail Plug-in
Description: A plug-in for the tm text mining framework providing mail handling functionality.
Author: Ingo Feinerer [aut] , Wolfgang Mauerer [aut], Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <[email protected]>

Diff between tm.plugin.mail versions 0.3-0 dated 2024-08-16 and 0.3-1 dated 2024-09-12

 DESCRIPTION |    6 ++--
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New package fastplyr with initial version 0.1.0
Package: fastplyr
Title: Fast Alternatives to 'tidyverse' Functions
Version: 0.1.0
Description: A full set of fast data manipulation tools with a tidy front-end and a fast back-end using 'collapse' and 'cheapr'.
License: MIT + file LICENSE
Depends: R (>= 3.6.1)
Imports: cheapr (>= 0.9.3), collapse (>= 2.0.0), dplyr (>= 1.1.0), magrittr, rlang, stringr, tidyselect, vctrs (>= 0.6.0)
Suggests: nycflights13, testthat (>= 3.0.0), tidyr
LinkingTo: cpp11
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-09-09 15:26:36 UTC; Nmc5
Author: Nick Christofides [aut, cre]
Maintainer: Nick Christofides <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 11:20:02 UTC

More information about fastplyr at CRAN
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New package cirls with initial version 0.3.1
Package: cirls
Title: Constrained Iteratively Reweighted Least Squares
Version: 0.3.1
Description: Routines to fit generalized linear models with constrained coefficients, along with inference on the coefficients. Designed to be used in conjunction with the base glm() function.
License: GPL (>= 3)
Encoding: UTF-8
Imports: quadprog, osqp, coneproj, TruncatedNormal, stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/PierreMasselot/cirls
NeedsCompilation: no
Packaged: 2024-09-09 13:15:56 UTC; PierreMasselot
Author: Pierre Masselot [aut, cre, cph] , Antonio Gasparrini [aut]
Maintainer: Pierre Masselot <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 11:20:06 UTC

More information about cirls at CRAN
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Package panelPomp updated to version 1.4 with previous version 1.1 dated 2023-03-29

Title: Inference for Panel Partially Observed Markov Processes
Description: Data analysis based on panel partially-observed Markov process (PanelPOMP) models. To implement such models, simulate them and fit them to panel data, 'panelPomp' extends some of the facilities provided for time series data by the 'pomp' package. Implemented methods include filtering (panel particle filtering) and maximum likelihood estimation (Panel Iterated Filtering) as proposed in Breto, Ionides and King (2020) "Panel Data Analysis via Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.
Author: Carles Breto [aut] , Edward L. Ionides [aut] , Aaron A. King [aut] , Jesse Wheeler [aut, cre]
Maintainer: Jesse Wheeler <[email protected]>

Diff between panelPomp versions 1.1 dated 2023-03-29 and 1.4 dated 2024-09-12

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 81 files changed, 1645 insertions(+), 605 deletions(-)

More information about panelPomp at CRAN
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New package inldata with initial version 1.2.7
Package: inldata
Title: Collection of Datasets for the USGS-INL Monitoring Networks
Version: 1.2.7
Description: A collection of analysis-ready datasets for the U.S. Geological Survey - Idaho National Laboratory (USGS-INL) groundwater and surface-water monitoring networks, administered by the USGS-INL Project Office in cooperation with the U.S. Department of Energy. The data collected from wells and surface-water stations at the Idaho National Laboratory and surrounding areas have been used to describe the effects of waste disposal on water contained in the eastern Snake River Plain aquifer, located in the southeastern part of Idaho, and the availability of water for long-term consumptive and industrial use. The package includes long-term monitoring records dating back to measurements from 1922. Geospatial data describing the areas from which samples were collected or observations were made are also included in the package. Bundling this data into a single package significantly reduces the magnitude of data processing for researchers and provides a way to distribute the data along with its docume [...truncated...]
Depends: R (>= 4.1)
Imports: checkmate, sf, stats, stringi, terra, tools, utils
Suggests: archive, arrow, connectapi, covr, curl, dataRetrieval, DiagrammeR, DiagrammeRsvg, dm, fontawesome, htmltools, htmlwidgets, httr, inlcolor, jsonlite, knitr, pkgload, pkgbuild, pkgdown, plotrix, rappdirs, rcmdcheck, reactable, renv, rmarkdown, roxygen2, rsconnect, tinytest, V8, webmap, writexl, xml2
License: CC0
URL: https://rconnect.usgs.gov/INLPO/inldata-main/, https://code.usgs.gov/inl/inldata
BugReports: https://code.usgs.gov/inl/inldata/-/issues
Copyright: This software is in the public domain because it contains materials that originally came from the United States Geological Survey (USGS), an agency of the United States Department of Interior. For more information, see the official USGS copyright policy at https://www.usgs.gov/information-policies-and-instructions/copyrights-and-credits
Encoding: UTF-8
SystemRequirements: libcurl4-openssl-dev pandoc libarchive-dev libv8-dev (deb)
LazyData: true
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2024-07-31 15:22:54 UTC; jfisher
Author: Jason C. Fisher [aut, cre] , Allison R. Trcka [aut] , Kerri C. Treinen [aut]
Maintainer: Jason C. Fisher <[email protected]>
Repository: CRAN
Date/Publication: 2024-09-12 07:20:02 UTC

More information about inldata at CRAN
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Package RcppArmadillo updated to version 14.0.2-1 with previous version 14.0.0-1 dated 2024-07-08

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <[email protected]>

Diff between RcppArmadillo versions 14.0.0-1 dated 2024-07-08 and 14.0.2-1 dated 2024-09-12

 ChangeLog                                          |   25 +++++++++
 DESCRIPTION                                        |   25 +++++++--
 MD5                                                |   54 ++++++++++-----------
 configure                                          |   18 +++----
 configure.ac                                       |    2 
 inst/CITATION                                      |    6 +-
 inst/NEWS.Rd                                       |   13 +++++
 inst/doc/RcppArmadillo-intro.pdf                   |binary
 inst/doc/RcppArmadillo-sparseMatrix.pdf            |binary
 inst/include/armadillo                             |    3 -
 inst/include/armadillo_bits/Cube_meat.hpp          |    4 -
 inst/include/armadillo_bits/Mat_meat.hpp           |    4 -
 inst/include/armadillo_bits/Proxy.hpp              |    4 -
 inst/include/armadillo_bits/SpMat_meat.hpp         |    4 -
 inst/include/armadillo_bits/arma_version.hpp       |    2 
 inst/include/armadillo_bits/compiler_setup.hpp     |    2 
 inst/include/armadillo_bits/config.hpp             |   12 ----
 inst/include/armadillo_bits/diskio_meat.hpp        |   16 +++---
 inst/include/armadillo_bits/field_meat.hpp         |    4 -
 inst/include/armadillo_bits/fn_accu.hpp            |   53 --------------------
 inst/include/armadillo_bits/memory.hpp             |   32 +++---------
 inst/include/armadillo_bits/mul_gemm.hpp           |    4 -
 inst/include/armadillo_bits/mul_gemv.hpp           |    2 
 inst/include/armadillo_bits/mul_herk.hpp           |    2 
 inst/include/armadillo_bits/mul_syrk.hpp           |    2 
 inst/include/armadillo_bits/subview_field_meat.hpp |    3 -
 inst/include/armadillo_bits/subview_meat.hpp       |   29 +++++++----
 inst/include/armadillo_bits/unwrap.hpp             |    2 
 28 files changed, 154 insertions(+), 173 deletions(-)

More information about RcppArmadillo at CRAN
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