doi:10.1111/sjos.12291> and Hothorn (2020) <doi:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <doi:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <doi:10.1111/sjos.12501>) transformation models are part of this package.">

mlt: Most Likely Transformations (original) (raw)

Likelihood-based estimation of conditional transformation models via the most likely transformation approach described in Hothorn et al. (2018) <doi:10.1111/sjos.12291> and Hothorn (2020) <doi:10.18637/jss.v092.i01>. Shift-scale (Siegfried et al, 2023, <doi:10.1080/00031305.2023.2203177>) and multivariate (Klein et al, 2022, <doi:10.1111/sjos.12501>) transformation models are part of this package.

Version: 1.6-0
Depends: basefun (≥ 1.1-2), variables (≥ 1.1-0)
Imports: BB, alabama, stats, coneproj, graphics, methods, grDevices, sandwich, numDeriv, survival, Matrix, nloptr, mvtnorm
Suggests: MASS, nnet, TH.data, multcomp, qrng
Published: 2024-09-23
DOI: 10.32614/CRAN.package.mlt
Author: Torsten Hothorn ORCID iD [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn at R-project.org>
License: GPL-2
URL: http://ctm.R-forge.R-project.org
NeedsCompilation: yes
Citation: mlt citation info
Materials: NEWS
CRAN checks: mlt results

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