FIT: Transcriptomic Dynamics Models in Field Conditions

Provides functionality for constructing statistical models of transcriptomic dynamics in field conditions. It further offers the function to predict expression of a gene given the attributes of samples and meteorological data. Nagano, A. J., Sato, Y., Mihara, M., Antonio, B. A., Motoyama, R., Itoh, H., Naganuma, Y., and Izawa, T. (2012). <doi:10.1016/j.cell.2012.10.048>. Iwayama, K., Aisaka, Y., Kutsuna, N., and Nagano, A. J. (2017). <doi:10.1093/bioinformatics/btx049>.

Version:	0.0.6
Depends:	R (≥ 3.2.2)
Imports:	methods, Rcpp (≥ 0.11.2), XML, gglasso (≥ 1.4), MASS
LinkingTo:	Rcpp, RcppEigen (≥ 0.3.2.1.2)
Suggests:	knitr, rmarkdown
Published:	2019-01-07
DOI:	10.32614/CRAN.package.FIT
Author:	Koji Iwayama [cre], Yuri Aisaka [aut]
Maintainer:	Koji Iwayama <fieldtranscriptome at gmail.com>
License:	MPL (≥ 2) | file LICENSE
NeedsCompilation:	yes
SystemRequirements:	C++11
CRAN checks:	FIT results

Documentation:

Reference manual:	FIT.pdf
Vignettes:	FIT

Downloads:

Package source:	FIT_0.0.6.tar.gz
Windows binaries:	r-devel: FIT_0.0.6.zip, r-release: FIT_0.0.6.zip, r-oldrel: FIT_0.0.6.zip
macOS binaries:	r-release (arm64): FIT_0.0.6.tgz, r-oldrel (arm64): FIT_0.0.6.tgz, r-release (x86_64): FIT_0.0.6.tgz, r-oldrel (x86_64): FIT_0.0.6.tgz
Old sources:	FIT archive

Linking:

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