Learn R Programming

⚠️There's a newer version (1.2-1) of this package.Take me there.

tram (version 0.6-2)

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 (Hothorn, 2019, ). Multivariate conditional transformation models () can be fitted as well.

Copy Link

Version

Install

install.packages('tram')

Monthly Downloads

2,449

Version

0.6-2

License

GPL-2

Maintainer

Torsten Hothorn

Last Published

December 7th, 2021

Functions in tram (0.6-2)

BoxCox

(Similar to) Box-Cox Models
mtram

Transformation Models for Clustered Data
Polr

Ordered Categorical Regression
Survreg

Parametric Survival Models
Coxph

Cox Proportional Hazards Model
Lehmann

Proportional Reverse Time Hazards Linear Regression
Aareg

Aalen Additive Hazards Model
mmlt

Multivariate Conditional Transformation Models
Lm

Normal Linear Model
perm_test

Permutation Transformation Tests
Colr

Continuous Outcome Logistic Regression
tram

Stratified Linear Transformation Models
tram-methods

Methods for Stratified Linear Transformation Models
score_test

Transformation Score Tests and Confidence Intervals