Transcriptomic Dynamics Models in Field Conditions


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Documentation for package ‘FIT’ version 0.0.6

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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.