<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Transformation Models</dc:title>
  <dc:title>R package tram version 1.4-4</dc:title>
  <dc:subject>CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival)</dc:subject>
  <dc:description>Formula-based user-interfaces to specific transformation models
  implemented in package 'mlt' (&lt;DOI:10.32614/CRAN.package.mlt&gt;, &lt;DOI:10.32614/CRAN.package.mlt.docreg&gt;). 
  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, &lt;DOI:10.12688/f1000research.12934.1&gt;). The underlying theory
  is described in Hothorn et al. (2018) &lt;DOI:10.1111/sjos.12291&gt;. An extension to
  transformation models for clustered data is provided (Barbanti and Hothorn, 2022,
  &lt;DOI:10.1093/biostatistics/kxac048&gt;) and a tutorial explains applications in survival analysis
  (Siegfried et al., 2025, &lt;DOI:10.48550/arXiv.2402.06428&gt;). Multivariate conditional transformation models 
  (Klein et al, 2022, &lt;DOI:10.1111/sjos.12501&gt;) and shift-scale transformation models (Siegfried et al, 2023,
  &lt;DOI:10.1080/00031305.2023.2203177&gt;) can be fitted as well. The package contains an implementation of 
  a doubly robust score test, described in  Kook et al. (2024, &lt;DOI:10.1080/01621459.2024.2395588&gt;).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.5.0), mlt (&gt;= 1.8-0), mvtnorm (&gt;= 1.3-7)</dc:relation>
  <dc:relation>Imports: Formula, multcomp, variables (&gt;= 1.0-4), basefun (&gt;= 1.1-2),
sandwich, stats, survival, graphics, Matrix, methods</dc:relation>
  <dc:relation>Suggests: MASS, TH.data, trtf (&gt;= 0.3-3), mlbench, knitr, quantreg,
colorspace, ATR, lme4, reformulas, merDeriv, SparseGrid,
alabama, numDeriv, gridExtra, lattice, latticeExtra, HSAUR3,
ordinalCont, coxme, mlt.docreg, ordinal, coin, asht, gamlss,
randomForestSRC, tramME, glmmTMB, geepack, ranger, eha,
flexsurv, frailtyEM, frailtypack, gamlss.cens, icenReg, mpr,
rms, rstpm2, timereg, Stat2Data, cotram, latex2exp, tramvs,
AER, KONPsurv, gamlss.data, xtable, english, bibtex, expm,
mgcv, pracma</dc:relation>
  <dc:creator>Torsten Hothorn &lt;Torsten.Hothorn@R-project.org&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Torsten Hothorn [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-8301-0471&gt;),
  Luisa Barbanti [ctb] (ORCID: &lt;https://orcid.org/0000-0001-5352-5802&gt;),
  Sandra Siegfried [aut] (ORCID: &lt;https://orcid.org/0000-0002-7312-1001&gt;),
  Lucas Kook [aut] (ORCID: &lt;https://orcid.org/0000-0002-7546-7356&gt;),
  Susanne Dandl [ctb] (ORCID: &lt;https://orcid.org/0000-0003-4324-4163&gt;),
  Brian Ripley [ctb],
  Bill Venables [ctb],
  Douglas M. Bates [ctb],
  Nadja Klein [ctb]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2026-07-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=tram</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.tram</dc:identifier>
</oai_dc:dc>
