Package: mlt 1.6-1
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:
mlt_1.6-1.tar.gz
mlt_1.6-1.zip(r-4.5)mlt_1.6-1.zip(r-4.4)
mlt_1.6-1.tgz(r-4.4-x86_64)mlt_1.6-1.tgz(r-4.4-arm64)
mlt_1.6-1.tar.gz(r-4.5-noble)mlt_1.6-1.tar.gz(r-4.4-noble)
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')) |
The latest version of this package failed to build. Look at thebuild logs for more information.
Bug tracker:https://r-forge.r-project.org/projects/ctm
Last updated 1 months agofrom:07cfe1bbda. Checks:OK: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-win-x86_64 | OK | Nov 19 2024 |
R-4.5-linux-x86_64 | OK | Nov 19 2024 |
R-4.4-win-x86_64 | OK | Nov 19 2024 |
R-4.4-mac-x86_64 | OK | Nov 19 2024 |
R-4.4-mac-aarch64 | OK | Nov 19 2024 |
Exports:as.mltas.Survcoef<-confbandctmGradientHessianmltmltoptimmmltR
Dependencies:alabamabasefunBBconeprojlatticeMatrixmvtnormnloptrnumDerivorthopolynompolynomquadprogRcppRcppArmadillosandwichsurvivalvariableszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
General Information on the 'mlt' Package | mlt-package |
Confidence Bands | confband confband.mlt |
Conditional Transformation Models | ctm |
Methods for ctm Objects | coef.ctm coef<-.ctm variable.names.ctm |
Most Likely Transformations | mlt |
Methods for mlt Objects | as.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 Optimisation | mltoptim |
Multivariate Conditional Transformation Models | coef.cmmlt coef.mmmlt mmlt predict.mmlt simulate.mmlt |
Methods for mmlt Objects | coef<-.mmlt estfun.mmlt Gradient.mmlt Hessian.mmlt logLik.mmlt mkgrid.mmlt variable.names.mmlt vcov.mmlt weights.mmlt |
Plots, Predictions and Samples from mlt Objects | plot.ctm plot.mlt predict.ctm predict.mlt simulate.ctm simulate.mlt |
Response Variables | as.double.response as.Surv as.Surv.response R R.factor R.integer R.list R.numeric R.ordered R.response R.Surv |