Package: tramvs 0.0-6

Lucas Kook

tramvs: Optimal Subset Selection for Transformation Models

Greedy optimal subset selection for transformation models (Hothorn et al., 2018, <doi:10.1111/sjos.12291> ) based on the abess algorithm (Zhu et al., 2020, <doi:10.1073/pnas.2014241117> ). Applicable to models from packages 'tram' and 'cotram'.

Authors:Lucas Kook [aut, cre], Sandra Siegfried [ctb], Torsten Hothorn [ctb]

tramvs_0.0-6.tar.gz
tramvs_0.0-6.zip(r-4.5)tramvs_0.0-6.zip(r-4.4)
tramvs_0.0-6.tgz(r-4.4-any)
tramvs_0.0-6.tar.gz(r-4.5-noble)tramvs_0.0-6.tar.gz(r-4.4-noble)
tramvs_0.0-6.tgz(r-4.4-emscripten)
tramvs.pdf |tramvs.html✨
tramvs/json (API)

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

Peer review:

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

On CRAN:

5.15 score 5 scripts 185 downloads 14 exports 33 dependencies

Last updated 2 days agofrom:07cfe1bbda. Checks:OK: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024

Exports:abess_mmltabess_tramBoxCoxVSColrVScor_initcotramVSCoxphVSLehmannVSLmVSmmltVSPolrVSSICSurvregVStramvs

Dependencies:alabamabasefunBBcodetoolsconeprojcotramdigestFormulafuturefuture.applyglobalslatticelistenvMASSMatrixmltmultcompmvtnormnloptrnumDerivorthopolynomparallellypolynomqrngquadprogRcppRcppArmadillosandwichsurvivalTH.datatramvariableszoo

tramvs

Rendered fromtramvs.Rnwusingknitr::knitron Nov 19 2024.

Last update: 2023-03-06
Started: 2022-01-19