Package: FIT 0.0.6

Koji Iwayama

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>.

Authors:Koji Iwayama [cre], Yuri Aisaka [aut]

FIT_0.0.6.tar.gz
FIT_0.0.6.tar.gz(r-4.5-noble)FIT_0.0.6.tar.gz(r-4.4-noble)
FIT_0.0.6.tgz(r-4.4-emscripten)FIT_0.0.6.tgz(r-4.3-emscripten)
FIT.pdf |FIT.html
FIT/json (API)

# Install 'FIT' in R:
install.packages('FIT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

3.61 score 41 scripts 233 downloads 94 mentions 17 exports 5 dependencies

Last updated 6 years agofrom:48449001d1. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 16 2024
R-4.5-linux-x86_64NOTEDec 16 2024

Exports:convert.attributeconvert.expressionconvert.weatherconvert.weightfit.modelsinitload.attributeload.expressionload.weatherload.weightmake.recipemake.trivial.weightsoptimpredictprediction.errorstrainweather.entries

Dependencies:gglassoMASSRcppRcppEigenXML

FIT

Rendered fromFIT.Rmdusingknitr::rmarkdownon Dec 16 2024.

Last update: 2018-05-08
Started: 2016-07-27