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tramnet (version 0.0-10)

Penalized Transformation Models

Description

Partially penalized versions of specific transformation models implemented in package 'mlt'. Available models include a fully parametric version of the Cox model, other parametric survival models (Weibull, etc.), models for binary and ordered categorical variables, normal and transformed-normal (Box-Cox type) linear models, and continuous outcome logistic regression. Hyperparameter tuning is facilitated through model-based optimization functionalities from package 'mlrMBO'. The accompanying vignette describes the methodology used in 'tramnet' in detail. Transformation models and model-based optimization are described in Hothorn et al. (2019) and Bischl et al. (2016) , respectively.

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Version

Install

install.packages('tramnet')

Monthly Downloads

472

Version

0.0-10

License

GPL-2

Maintainer

Lucas Kook

Last Published

November 18th, 2025

Functions in tramnet (0.0-10)

estfun.tramnet

estfun method for class "tramnet"
logLik.tramnet

logLik method for class "tramnet"
cvl_tramnet

Cross validation for "tramnet" models
plot.tramnet

plot method for class "tramnet"
mbo_tramnet

Model based optimization for regularized transformation models
lasso_obj

Lasso objective function for model based optimization
coef.tramnet_Lm

coef method for class "tramnet_Lm"
coef.tramnet

coef method for class "tramnet"
mbo_recommended

Fit recommended regularized tram based on model based optimization output
elnet_obj

Elastic net objective function for model based optimization
prof_lambda

Profiling tuning parameters
prof_alpha

Profiling tuning parameters
print.summary.tramnet

print summary method for class "tramnet"
print.tramnet

print method for class "tramnet"
tramnet

Regularised Transformation Models
simulate.tramnet

simulate method for class "tramnet"
summary.tramnet

summary method for class "tramnet"
residuals.tramnet

residuals method for class "tramnet"
ridge_obj

Ridge objective function for model based optimization
plot_path

Plot regularization paths for "prof_*" classes
predict.tramnet

predict method for class "tramnet"