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tram (version 1.2-3)

Transformation Models

Description

Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (, ). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, ). The underlying theory is described in Hothorn et al. (2018) . An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, ). Multivariate conditional transformation models (Klein et al, 2022, ) and shift-scale transformation models (Siegfried et al, 2023, ) can be fitted as well. The package contains an implementation of a doubly robust score test, described in Kook et al. (2024, ).

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Version

Install

install.packages('tram')

Monthly Downloads

2,305

Version

1.2-3

License

GPL-2

Maintainer

Torsten Hothorn

Last Published

June 18th, 2025

Functions in tram (1.2-3)

score_test

Transformation Score Tests and Confidence Intervals
tram-methods

Methods for Stratified Linear Transformation Models
tram

Stratified Linear Transformation Models
Colr

Continuous Outcome Logistic Regression
Mmlt

Multivariate Conditional Transformation Models
Coxph

Cox Proportional Hazards Model
Compris

Competing Risk Regression
Lehmann

Proportional Reverse Time Hazards Linear Regression
Aareg

Aalen Additive Hazards Model
Polr

Ordered Categorical Regression
Survreg

Parametric Survival Models
perm_test

Permutation Transformation Tests
robust_score_test

Doubly Robust Transformation Score Test
mtram

Transformation Models for Clustered Data
Lm

Normal Linear Model
BoxCox

(Similar to) Box-Cox Models