Package: mlt 1.5-3
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>.
Authors:
mlt_1.5-3.tar.gz
mlt_1.5-3.zip(r-4.5)mlt_1.5-3.zip(r-4.4)
mlt_1.5-3.tgz(r-4.4-x86_64)mlt_1.5-3.tgz(r-4.4-arm64)
mlt_1.5-3.tar.gz(r-4.5-noble)mlt_1.5-3.tar.gz(r-4.4-noble)
mlt_1.5-3.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')) |
Bug tracker:https://r-forge.r-project.org/projects/ctm
Last updated 4 days agofrom:2e487b9312. Checks:OK: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 04 2024 |
R-4.5-win-x86_64 | OK | Sep 04 2024 |
R-4.5-linux-x86_64 | OK | Sep 04 2024 |
R-4.4-win-x86_64 | OK | Sep 04 2024 |
R-4.4-mac-x86_64 | OK | Sep 04 2024 |
R-4.4-mac-aarch64 | OK | Sep 04 2024 |
Exports:as.mltas.Survcoef<-confbandctmGradientHessianmltmltoptimR
Dependencies:alabamabasefunBBconeprojlatticeMatrixnloptrnumDerivorthopolynompolynomquadprogRcppRcppArmadillosandwichsurvivalvariableszoo
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 |
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 |