Package: tramnet 0.1-0

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) <arxiv:1703.03373>, respectively.

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

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tramnet.pdf |tramnet.html✨
tramnet/json (API)
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Bug tracker:https://r-forge.r-project.org/projects/ctm

On CRAN:

14 exports 2.61 score 59 dependencies 2 scripts 272 downloads

Last updated 4 days agofrom:2e487b9312. Checks:OK: 5. Indexed: yes.

Exports:BoxCoxNETColrNETCoxphNETcvl_tramnetLehmannNETLmNETmbo_recommendedmbo_tramnetplot_pathPolrNETprof_alphaprof_lambdaSurvregNETtramnet

Dependencies:alabamabackportsbasefunBBbbotkbitbit64checkmateclarabelcodetoolsconeprojCVXRdata.tabledigestECOSolveRevaluateFormulafuturefuture.applyglobalsgmplatticelgrlistenvMASSMatrixmlbenchmlr3mlr3mbomlr3measuresmlr3miscmlr3tuningmltmultcompmvtnormnloptrnumDerivorthopolynomosqppalmerpenguinsparadoxparallellypolynomPRROCquadprogR6RcppRcppArmadilloRcppEigenRmpfrsandwichscsspacefillrsurvivalTH.datatramuuidvariableszoo