tram: Transformation Models

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, <arXiv:1910.09219>). Multivariate conditional transformation models (Klein et al, 2022, <doi:10.1111/sjos.12501>) can be fitted as well.

Version: 0.7-2
Depends: R (≥ 3.5.0), mlt (≥ 1.4-2)
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, mvtnorm, ordinalCont, coxme, mlt.docreg, ordinal, coin, asht, gamlss
Published: 2022-08-07
Author: Torsten Hothorn ORCID iD [aut, cre], Luisa Barbanti ORCID iD [aut], Sandra Siegfried ORCID iD [aut], Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn at R-project.org>
License: GPL-2
URL: http://ctm.R-forge.R-project.org
NeedsCompilation: yes
Citation: tram citation info
Materials: NEWS
CRAN checks: tram results

Documentation:

Reference manual: tram.pdf
Vignettes: mtram
tram

Downloads:

Package source: tram_0.7-2.tar.gz
Windows binaries: r-devel: tram_0.7-2.zip, r-release: tram_0.7-2.zip, r-oldrel: tram_0.7-2.zip
macOS binaries: r-release (arm64): tram_0.7-2.tgz, r-oldrel (arm64): tram_0.7-2.tgz, r-release (x86_64): tram_0.7-2.tgz, r-oldrel (x86_64): tram_0.7-2.tgz
Old sources: tram archive

Reverse dependencies:

Reverse depends: cotram, tramME, tramnet, tramvs, trtf
Reverse suggests: mlt.docreg, multcomp, tbm, TH.data

Linking:

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