Package: mlt 1.8-1

Torsten Hothorn

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>.

Authors:Torsten Hothorn [aut, cre]

mlt_1.8-1.tar.gz
mlt_1.8-1.zip(r-4.7)mlt_1.8-1.zip(r-4.6)mlt_1.8-1.zip(r-4.5)
mlt_1.8-1.tgz(r-4.6-x86_64)mlt_1.8-1.tgz(r-4.6-arm64)mlt_1.8-1.tgz(r-4.5-x86_64)mlt_1.8-1.tgz(r-4.5-arm64)
mlt_1.8-1.tar.gz(r-4.7-arm64)mlt_1.8-1.tar.gz(r-4.7-x86_64)mlt_1.8-1.tar.gz(r-4.6-arm64)mlt_1.8-1.tar.gz(r-4.6-x86_64)
mlt_1.8-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mlt/json (API)
NEWS

# Install 'mlt' in R:
install.packages('mlt', repos = c('https://trafo-universe.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://codeberg.org/thothorn/tram

On CRAN:

Conda:

6.24 score 9 packages 81 scripts 7.3k downloads 4 mentions 12 exports 25 dependencies

Last updated from:e521db8c15. Checks:9 NOTE, 2 ERROR, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE179
linux-devel-x86_64ERROR156
source / vignettesOK224
linux-release-arm64NOTE167
linux-release-x86_64ERROR152
macos-release-arm64NOTE181
macos-release-x86_64NOTE365
macos-oldrel-arm64NOTE134
macos-oldrel-x86_64NOTE241
windows-develNOTE157
windows-releaseNOTE151
windows-oldrelNOTE174
wasm-releaseOK106

Exports:as.mltas.Survcoef<-confbandctmGradienthas_scaleHessianmltmltoptimmmltR

Dependencies:alabamabasefunBBcodacodetoolsconeprojforeachicenRegiteratorslatticeMatrixMLEcensmvtnormnloptrnumDerivorthopolynompolynomquadprogRcppRcppArmadilloRcppEigensandwichsurvivalvariableszoo

Readme and manuals

Help Manual

Help pageTopics
General Information on the 'mlt' Packagemlt-package
Confidence Bandsconfband confband.mlt
Conditional Transformation Modelsctm has_scale
Methods for ctm Objectscoef.ctm coef<-.ctm variable.names.ctm
Most Likely Transformationsmlt
Methods for mlt Objectsas.mlt as.mlt.mlt bounds.mlt coef.mlt coef<- coef<-.mlt estfun.mlt Gradient Gradient.mlt Hessian Hessian.mlt logLik.mlt mkgrid.mlt residuals.mlt update.mlt_fit variable.names.mlt vcov.mlt weights.mlt
Control Optimisationmltoptim
Multivariate Conditional Transformation Modelscoef.cmmlt coef.mmmlt mmlt predict.mmlt residuals.mmlt simulate.mmlt
Methods for mmlt Objectscoef<-.mmlt estfun.mmlt Gradient.mmlt Hessian.mmlt logLik.mmlt mkgrid.mmlt variable.names.mmlt vcov.mmlt weights.mmlt
Plots, Predictions and Samples from mlt Objectsplot.ctm plot.mlt predict.ctm predict.mlt simulate.ctm simulate.mlt
Response Variablesas.double.response as.Surv as.Surv.response R R.factor R.integer R.list R.numeric R.ordered R.response R.Surv