Package: tramvs 0.0-6
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:
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')) |
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:abess_mmltabess_tramBoxCoxVSColrVScor_initcotramVSCoxphVSLehmannVSLmVSmmltVSPolrVSSICSurvregVStramvs
Dependencies:alabamabasefunBBcodetoolsconeprojcotramdigestFormulafuturefuture.applyglobalslatticelistenvMASSMatrixmltmultcompmvtnormnloptrnumDerivorthopolynomparallellypolynomqrngquadprogRcppRcppArmadillosandwichsurvivalTH.datatramvariableszoo