Package: sivs 0.2.10

sivs: Stable Iterative Variable Selection

An iterative feature selection method (manuscript submitted) that internally utilizes various Machine Learning methods that have embedded feature reduction in order to shrink down the feature space into a small and yet robust set.

Authors:Mehrad Mahmoudian [aut, cre], Mikko Venäläinen [aut, rev], Riku Klèn [aut, ths], Laura Elo [aut, ths, fnd]

sivs_0.2.10.tar.gz
sivs_0.2.10.zip(r-4.5)sivs_0.2.10.zip(r-4.4)sivs_0.2.10.zip(r-4.3)
sivs_0.2.10.tgz(r-4.4-any)sivs_0.2.10.tgz(r-4.3-any)
sivs_0.2.10.tar.gz(r-4.5-noble)sivs_0.2.10.tar.gz(r-4.4-noble)
sivs_0.2.10.tgz(r-4.4-emscripten)sivs_0.2.10.tgz(r-4.3-emscripten)
sivs.pdf |sivs.html
sivs/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/mmahmoudian/sivs/issues

On CRAN:

3 exports 4 stars 1.19 score 14 dependencies 322 downloads

Last updated 1 months agofrom:1fed9d20e5. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-winWARNINGSep 15 2024
R-4.5-linuxWARNINGSep 15 2024
R-4.4-winWARNINGSep 15 2024
R-4.4-macWARNINGSep 15 2024
R-4.3-winWARNINGSep 15 2024
R-4.3-macWARNINGSep 15 2024

Exports:is.sivssivssuggest

Dependencies:codetoolsdoParallelforeachglmnetiteratorslatticeMatrixplyrpROCRcppRcppEigenshapesurvivalvarhandle

Stable Iterative Variable Selection (SIVS)

Rendered fromvignette_simple_usage.Rmdusingknitr::knitron Sep 15 2024.

Last update: 2020-11-04
Started: 2020-09-11