Package: subselect 0.15.5
Jorge Cadima
subselect: Selecting Variable Subsets
A collection of functions which (i) assess the quality of variable subsets as surrogates for a full data set, in either an exploratory data analysis or in the context of a multivariate linear model, and (ii) search for subsets which are optimal under various criteria. Theoretical support for the heuristic search methods and exploratory data analysis criteria is in Cadima, Cerdeira, Minhoto (2003, <doi:10.1016/j.csda.2003.11.001>). Theoretical support for the leap and bounds algorithm and the criteria for the general multivariate linear model is in Duarte Silva (2001, <doi:10.1006/jmva.2000.1920>). There is a package vignette "subselect", which includes additional references.
Authors:
subselect_0.15.5.tar.gz
subselect_0.15.5.tar.gz(r-4.5-noble)subselect_0.15.5.tar.gz(r-4.4-noble)
subselect_0.15.5.tgz(r-4.4-emscripten)subselect_0.15.5.tgz(r-4.3-emscripten)
subselect.pdf |subselect.html✨
subselect/json (API)
# Install 'subselect' in R: |
install.packages('subselect', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- farm - Sixty-two economic indicators from 99 Portuguese farms.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:803cc11ee3. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 30 2024 |
R-4.5-linux-x86_64 | NOTE | Aug 30 2024 |
Exports:annealccr12.coefeleapsgcd.coefgeneticglhHmatglhHmat.data.frameglhHmat.defaultglhHmat.formulaglmHmatglmHmat.glmimproveldaHmatldaHmat.data.frameldaHmat.defaultldaHmat.formulaleapslmHmatlmHmat.data.framelmHmat.defaultlmHmat.formulalmHmat.lmrm.coefrv.coeftau2.coeftrim.matrixwald.coefxi2.coefzeta2.coef