# Transcriptomic Dynamics Models in Field Conditions

## Documentation for package ‘FIT’ version 0.0.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

FIT-package | FIT: a statistical modeling tool for transcriptome dynamics under fluctuating field conditions
convert.attribute | Converts attribute data from a dataframe into an object.
convert.expression | converts expression data from a dataframe into an object.
convert.weather | Converts weather data from a dataframe into an object.
convert.weight | Converts regression weight data from a dataframe into an object.
FIT | FIT: a statistical modeling tool for transcriptome dynamics under fluctuating field conditions
fit.models | A raw API for fixing linear regression coefficients.
init | A raw API for initializing model parameters.
load.attribute | Loads attribute data.
load.expression | Loads expression data.
load.weather | Loads weather data.
load.weight | Loads regression weight data.
make.recipe | Creates a recipe for training models.
make.trivial.weights | Makes trivial weight data
optim | A raw API for optimizing model parameters.
predict | Predicts gene expressions using pretrained models.
prediction.errors | Computes the prediction errors using the trained models.
train | Constructs models following a recipe.
weather.entries | Supported weather factors.