Package: tramnet 0.1-1

Lucas Kook

tramnet: Penalized Transformation Models

Partially penalized versions of specific transformation models implemented in package 'mlt'. Available models include a fully parametric version of the Cox model, other parametric survival models (Weibull, etc.), models for binary and ordered categorical variables, normal and transformed-normal (Box-Cox type) linear models, and continuous outcome logistic regression. Hyperparameter tuning is facilitated through model-based optimization functionalities from package 'mlr3MBO'. The methodology is described in Kook et al. (2021) <doi:10.32614/RJ-2021-054>. Transformation models and model-based optimization are described in Hothorn et al. (2019) <doi:10.1111/sjos.12291> and Bischl et al. (2016) <doi:10.48550/arXiv.1703.03373>, respectively.

Authors:Lucas Kook [cre, aut], Balint Tamasi [ctb], Sandra Siegfried [ctb], Samuel Pawel [ctb], Torsten Hothorn [ctb]

tramnet_0.1-1.tar.gz
tramnet_0.1-1.zip(r-4.7)tramnet_0.1-1.zip(r-4.6)tramnet_0.1-1.zip(r-4.5)
tramnet_0.1-1.tgz(r-4.6-any)tramnet_0.1-1.tgz(r-4.5-any)
tramnet_0.1-1.tar.gz(r-4.7-any)tramnet_0.1-1.tar.gz(r-4.6-any)
tramnet_0.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
tramnet/json (API)
NEWS

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

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

On CRAN:

Conda:

4.99 score 2 scripts 9.7k downloads 14 exports 67 dependencies

Last updated from:6cd3bd0ce8. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR182
source / vignettesOK213
linux-release-x86_64ERROR193
macos-release-arm64ERROR147
macos-oldrel-arm64ERROR116
windows-develERROR111
windows-releaseERROR112
windows-oldrelERROR133
wasm-releaseOK140

Exports:BoxCoxNETColrNETCoxphNETcvl_tramnetLehmannNETLmNETmbo_recommendedmbo_tramnetplot_pathPolrNETprof_alphaprof_lambdaSurvregNETtramnet

Dependencies:alabamabackportsbasefunBBbbotkcheckmateclarabelclicodacodetoolsconeprojCVXRdata.tabledigestevaluateforeachFormulafuturefuture.applyglobalsgmphighsicenRegiteratorslatticelgrlistenvMASSMatrixmiraimlbenchMLEcensmlr3mlr3mbomlr3measuresmlr3miscmlr3tuningmltmultcompmvtnormnanonextnloptrnumDerivorthopolynomosqppalmerpenguinsparadoxparallellypolynomPRROCquadprogR6RcppRcppArmadilloRcppEigenrlangS7sandwichscsslamspacefillrsurvivalTH.datatramuuidvariableszoo

Readme and manuals

Help Manual

Help pageTopics
Cross-validating tramnet modelscvl_tramnet
Regularized transformation model classesBoxCoxNET ColrNET CoxphNET LehmannNET LmNET PolrNET SurvregNET
S3 methods for class '"tramnet"'coef.tramnet coef.tramnet_Lm estfun.tramnet logLik.tramnet predict.tramnet print.summary.tramnet print.tramnet residuals.tramnet simulate.tramnet summary.tramnet
Fit recommended regularized tram based on model based optimization outputmbo_recommended
Model based optimization for regularized transformation modelsmbo_tramnet
Plot regularization pathsplot_path
Plot '"tramnet"' objectsplot.tramnet
Profiling tuning parametersprof_alpha
Profiling tuning parametersprof_lambda
Regularized transformation modelstramnet tramnet.formula tramnet.tram