Package: tramnet 0.1-0
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) <arxiv:1703.03373>, respectively.
Authors:
tramnet_0.1-0.tar.gz
tramnet_0.1-0.zip(r-4.5)tramnet_0.1-0.zip(r-4.4)
tramnet_0.1-0.tgz(r-4.4-any)
tramnet_0.1-0.tar.gz(r-4.5-noble)tramnet_0.1-0.tar.gz(r-4.4-noble)
tramnet_0.1-0.tgz(r-4.4-emscripten)
tramnet.pdf |tramnet.html✨
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
Last updated 4 days agofrom:2e487b9312. Checks:OK: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 04 2024 |
R-4.5-win | OK | Sep 04 2024 |
R-4.5-linux | OK | Sep 04 2024 |
R-4.4-win | OK | Sep 04 2024 |
R-4.4-mac | OK | Sep 04 2024 |
Exports:BoxCoxNETColrNETCoxphNETcvl_tramnetLehmannNETLmNETmbo_recommendedmbo_tramnetplot_pathPolrNETprof_alphaprof_lambdaSurvregNETtramnet
Dependencies:alabamabackportsbasefunBBbbotkbitbit64checkmateclarabelcodetoolsconeprojCVXRdata.tabledigestECOSolveRevaluateFormulafuturefuture.applyglobalsgmplatticelgrlistenvMASSMatrixmlbenchmlr3mlr3mbomlr3measuresmlr3miscmlr3tuningmltmultcompmvtnormnloptrnumDerivorthopolynomosqppalmerpenguinsparadoxparallellypolynomPRROCquadprogR6RcppRcppArmadilloRcppEigenRmpfrsandwichscsspacefillrsurvivalTH.datatramuuidvariableszoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Cross-validating tramnet models | cvl_tramnet |
Regularized transformation model classes | BoxCoxNET 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 output | mbo_recommended |
Model based optimization for regularized transformation models | mbo_tramnet |
Plot regularization paths | plot_path |
Plot '"tramnet"' objects | plot.tramnet |
Profiling tuning parameters | prof_alpha |
Profiling tuning parameters | prof_lambda |
Regularized transformation models | tramnet tramnet.formula tramnet.tram |