Penalized Transformation Models
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Documentation for package ‘tramnet’ version 0.1-0
Help Pages
| BoxCoxnet | Regularised Transformation Models via Formulae |
| coef.tramnet | coef method for class '"tramnet"' |
| coef.tramnet_Lm | coef method for class '"tramnet_Lm"' |
| Colrnet | Regularised Transformation Models via Formulae |
| Coxphnet | Regularised Transformation Models via Formulae |
| cvl_tramnet | Cross validation for '"tramnet"' models |
| elnet_obj | Elastic net objective function for model based optimization |
| estfun.tramnet | estfun method for class '"tramnet"' |
| lasso_obj | Lasso objective function for model based optimization |
| Lehmannnet | Regularised Transformation Models via Formulae |
| Lmnet | Regularised Transformation Models via Formulae |
| logLik.tramnet | logLik method for class '"tramnet"' |
| mbo_recommended | Fit recommended regularized tram based on model based optimization output |
| mbo_tramnet | Model based optimization for regularized transformation models |
| model.matrix.tramnet | model.matrix method for class '"tramnet"' |
| plot.tramnet | plot method for class '"tramnet"' |
| plot_path | Plot regularization paths for '"prof_*"' classes |
| predict.tramnet | predict method for class '"tramnet"' |
| print.summary.tramnet | print summary method for class '"tramnet"' |
| print.tramnet | print method for class '"tramnet"' |
| prof_alpha | Profiling tuning parameters |
| prof_lambda | Profiling tuning parameters |
| residuals.tramnet | residuals method for class '"tramnet"' |
| ridge_obj | Ridge objective function for model based optimization |
| simulate.tramnet | simulate method for class '"tramnet"' |
| summary.tramnet | summary method for class '"tramnet"' |
| Survregnet | Regularised Transformation Models via Formulae |
| tramnet | Regularised Transformation Models |
| tramnet.default | Regularised Transformation Models |
| tramnet.formula | Regularised Transformation Models |