Package: mlt 1.6-1

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_1.6-1.tar.gz
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mlt_1.6-1.tgz(r-4.4-emscripten)
mlt.pdf |mlt.html✨
mlt/json (API)
NEWS

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

Peer review:

Bug tracker:https://r-forge.r-project.org/projects/ctm

On CRAN:

7.32 score 10 packages 41 scripts 3.0k downloads 4 mentions 11 exports 18 dependencies

Last updated 2 days agofrom:07cfe1bbda. Checks:OK: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-win-x86_64OKNov 19 2024
R-4.5-linux-x86_64OKNov 19 2024
R-4.4-win-x86_64OKNov 19 2024
R-4.4-mac-x86_64OKNov 19 2024
R-4.4-mac-aarch64OKNov 19 2024

Exports:as.mltas.Survcoef<-confbandctmGradientHessianmltmltoptimmmltR

Dependencies:alabamabasefunBBconeprojlatticeMatrixmvtnormnloptrnumDerivorthopolynompolynomquadprogRcppRcppArmadillosandwichsurvivalvariableszoo

Readme and manuals

Help Manual

Help pageTopics
General Information on the 'mlt' Packagemlt-package
Confidence Bandsconfband confband.mlt
Conditional Transformation Modelsctm
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 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