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tram (version 0.7-1)

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, ). Multivariate conditional transformation models (Klein et al, 2022, ) can be fitted as well.

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Version

Install

install.packages('tram')

Monthly Downloads

5,906

Version

0.7-1

License

GPL-2

Maintainer

Torsten Hothorn

Last Published

May 18th, 2022

Functions in tram (0.7-1)

BoxCox

(Similar to) Box-Cox Models
Aareg

Aalen Additive Hazards Model
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
Lm

Normal Linear Model
mtram

Transformation Models for Clustered Data
mmlt

Multivariate Conditional Transformation Models
perm_test

Permutation Transformation Tests
score_test

Transformation Score Tests and Confidence Intervals
tram

Stratified Linear Transformation Models
tram-methods

Methods for Stratified Linear Transformation Models