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Transformation Models

Installation

About

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, doi:10.12688/f1000research.12934.1). The underlying theory is described in Hothorn et al. (2018) doi:10.1111/sjos.12291. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, doi:10.1093/biostatistics/kxac048). Multivariate conditional transformation models (Klein et al, 2022, doi:10.1111/sjos.12501) and shift-scale transformation models (Siegfried et al, 2023, doi:10.1080/00031305.2023.2203177) can be fitted as well.

Citation tram citation info
ctm.R-forge.R-project.org

Key Metrics

Version 1.0-2
R ≥ 3.5.0
Published 2024-01-30 59 days ago
Needs compilation? yes
License GPL-2
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Maintainer

Maintainer

Torsten Hothorn

Torsten.Hothorn@R-project.org

Authors

Torsten Hothorn

aut / cre

Luisa Barbanti

aut

Sandra Siegfried

aut

Brian Ripley

ctb

Bill Venables

ctb

Douglas M. Bates

ctb

Nadja Klein

ctb

Material

NEWS
Reference manual
Package source

Vignettes

mtram
tram

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tram archive

Depends

R ≥ 3.5.0
mlt ≥ 1.5-0
mvtnorm ≥ 1.2-0

Imports

Formula
multcomp
variables ≥ 1.0-4
basefun ≥ 1.1-2
sandwich
stats
survival
graphics
Matrix
methods

Suggests

MASS
TH.data
trtf ≥ 0.3-3
mlbench
knitr
quantreg
colorspace
ATR
lme4
merDeriv
SparseGrid
alabama
numDeriv
gridExtra
lattice
latticeExtra
HSAUR3
ordinalCont
coxme
mlt.docreg
ordinal
coin
asht
gamlss

Reverse Depends

cotram
tramME
tramnet
tramvs
trtf

Reverse Imports

tramicp

Reverse Suggests

deeptrafo
mlt.docreg
multcomp
tbm
TH.data