Man pages for pnnl/glmnetLRC
Lasso and Elastic-Net Logistic Regression Classification with an Arbitrary Loss Function
| generics | Generics for 'extract' and 'missingpreds' methods |
| glmnetLRC | Construct a lasso or elastic-net logistic regression... |
| glmnetLRC_fit | A glmnetLRC model fit object |
| glmnetLRC-package | Lasso and elastic-net logistic regression classification with... |
| lossMatrix | Build a loss matrix |
| plot.LRCpred | Plot the predictions of logistic regression classifier |
| summary.LRCpred | Summarize predictions of logistic regression classifier |
| testdata | Test data set from the Vorbitrap mass spectrometry instrument |
| traindata | Training data set from the Vorbitrap mass spectrometry... |
