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tram (version 1.3-1)

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, ) and a tutorial explains applications in survival analysis (Siegfried et al., 2025, ). 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

8,069

Version

1.3-1

License

GPL-2

Maintainer

Torsten Hothorn

Last Published

December 4th, 2025

Functions in tram (1.3-1)

robust_score_test

Doubly Robust Transformation Score Test
tram-methods

Methods for Stratified Linear Transformation Models
tram

Stratified Linear Transformation Models
score_test

Transformation Score Tests and Confidence Intervals
BoxCox

(Similar to) Box-Cox Models
Compris

Competing Risk Regression
Lm

Normal Linear Model
mtram

Transformation Models for Clustered Data
Aareg

Aalen Additive Hazards Model
perm_test

Permutation Transformation Tests
Mmlt

Multivariate Conditional Transformation Models
Colr

Continuous Outcome Logistic Regression
Coxph

Cox Proportional Hazards Model
Survreg

Parametric Survival Models
Polr

Ordered Categorical Regression
Lehmann

Proportional Reverse Time Hazards Linear Regression