The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 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

Documentation:

Reference manual: mlt.pdf

Downloads:

Package source: mlt_1.6-1.tar.gz
Windows binaries: r-devel: mlt_1.6-1.zip, r-release: mlt_1.6-1.zip, r-oldrel: mlt_1.6-1.zip
macOS binaries: r-release (arm64): mlt_1.6-1.tgz, r-oldrel (arm64): mlt_1.6-1.tgz, r-release (x86_64): mlt_1.6-1.tgz, r-oldrel (x86_64): mlt_1.6-1.tgz
Old sources: mlt archive

Reverse dependencies:

Reverse depends: cotram, mlt.docreg, tbm, tram, tramME, trtf
Reverse imports: deeptrafo, tramicp, tramnet
Reverse suggests: counterfactuals, tramvs

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mlt to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.