regInterceptModel {heuristica} | R Documentation |
Linear regression wrapper for hueristica
Description
A wrapper to create a lm model just specifying columns, generating a model formula for you. This makes it easier to run automated comparisons with other models in heuristica.
Usage
regInterceptModel(train_matrix, criterion_col, cols_to_fit)
Arguments
train_matrix |
A matrix (or data.frame) of data to train (fit) the model with. |
criterion_col |
The index of the criterion column– "y" in the formula. |
cols_to_fit |
A vector of column indexes to fit– the "x's" in the formula. |
Details
This version assumes you always want to include the intercept.
Value
An object of class regInterceptModel, which is a subclass of lm.
See Also
regModel
for a version that excludes the intercept.
predict.lm
for prediction.
predictPairProb
for predicting between a pair of rows.
[Package heuristica version 1.0.3 Index]