train: Train Adaptive ENET Model for ERS

In umich-biostatistics/ers: Environmental Risk Score

Description

This function explores optimal tuning parameter values for the adaptive elastic net model. Using the trained model results, environmental risk score is computed.

Usage

train(x, y, covar = NULL, control = list(method = "cv"))

Details

Algorithm:

define sets of model parameter values to evaluate
|for each parameter set
| |for each resampling iteration
| |    hold out specific samples
| |    fit the model on the remainder
| |    predict the hold-out samples
| |  end
|   calculate the average performance across hold-out predictions
|  end
 determine the optimal parameter set
 fit the final model to all the training data using the optimal parameter set

umich-biostatistics/ers documentation built on Oct. 29, 2020, 8:15 a.m.