Penalized Ordinal Regression
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Documentation for package ‘ordinalNet’ version 2.12
Help Pages
| coef.ordinalNet | Method to extract fitted coefficients from an "ordinalNet" object. |
| ordinalNet | Ordinal regression models with elastic net penalty |
| ordinalNetCV | Uses K-fold cross validation to obtain out-of-sample log-likelihood and misclassification rates. Lambda is tuned within each cross validation fold. |
| ordinalNetTune | Uses K-fold cross validation to obtain out-of-sample log-likelihood and misclassification rates for a sequence of lambda values. |
| plot.ordinalNetTune | Plot method for "ordinalNetTune" object. |
| predict.ordinalNet | Predict method for an "ordinalNet" object |
| print.ordinalNet | Print method for an "ordinalNet" object. |
| print.ordinalNetCV | Print method for an "ordinalNetCV" object. |
| print.ordinalNetTune | Print method for an "ordinalNetTune" object. |
| summary.ordinalNet | Summary method for an "ordinalNet" object. |
| summary.ordinalNetCV | Summary method for an "ordinalNetCV" object. |
| summary.ordinalNetTune | Summary method for an "ordinalNetTune" object. |