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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:

Please use the canonical form https://CRAN.R-project.org/package=FIT to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.