Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<doi:10.32614/CRAN.package.mlt>, <doi:10.32614/CRAN.package.mlt.docreg>). 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. The package contains an implementation of a doubly robust score test, described in Kook et al. (2024, <doi:10.1080/01621459.2024.2395588>).
Version: 1.2-3 Depends: R (≥ 3.5.0), mlt (≥ 1.6-6), mvtnorm (≥ 1.3-2) 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, 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, Stat2Data Published: 2025-06-18 DOI: 10.32614/CRAN.package.tram Author: Torsten Hothorn [aut, cre], Luisa Barbanti [ctb], Sandra Siegfried [aut], Lucas Kook [aut], Susanne Dandl [ctb], 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: no Citation: tram citation info Materials: NEWS In views: Survival CRAN checks: tram results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=tram to link to this page.
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