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FIT  

Transcriptomic Dynamics Models in Field Conditions
View on CRAN: Click here


Download and install FIT package within the R console
Install from CRAN:
install.packages("FIT")

Install from Github:
library("remotes")
install_github("cran/FIT")

Install by package version:
library("remotes")
install_version("FIT", "0.0.6")



Attach the package and use:
library("FIT")
Maintained by
Koji Iwayama
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-27
Latest Update: 2019-01-07
Description:
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). . Iwayama, K., Aisaka, Y., Kutsuna, N., and Nagano, A. J. (2017). .
How to cite:
Koji Iwayama (2016). FIT: Transcriptomic Dynamics Models in Field Conditions. R package version 0.0.6, https://cran.r-project.org/web/packages/FIT. Accessed 27 Oct. 2026.
Previous versions and publish date:
0.0.1 (2016-07-27 03:44), 0.0.2 (2016-11-22 09:06), 0.0.3 (2016-11-24 11:57), 0.0.4 (2016-11-28 13:04), 0.0.5 (2018-05-08 08:35), 0.0.6 (2019-01-07 15:50), (2026-07-09 08:03)
Other packages that cited FIT R package
View FIT citation profile
Other R packages that FIT depends, imports, suggests or enhances
Complete documentation for FIT
Functions, R codes and Examples using the FIT R package
Some associated functions: FIT . convert.attribute . convert.expression . convert.weather . convert.weight . fit.models . init . load.attribute . load.expression . load.weather . load.weight . make.recipe . make.trivial.weights . optim . predict . prediction.errors . train . weather.entries . 
Some associated R codes: FIT.R . IO.R . JmaCsv.R . JmaStations.R . JmaWeb.R . Model.R . Norm.R . RcppExports.R . Train.R .  Full FIT package functions and examples
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