mlt: Most Likely Transformations
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. A package vignette is available from <doi:10.32614/CRAN.package.mlt.docreg> and
more convenient user interfaces to many models from <doi:10.32614/CRAN.package.tram>.
Version: |
1.6-1 |
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: |
2024-11-18 |
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 |
Documentation:
Downloads:
Reverse dependencies:
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