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 |
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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 [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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