A stable approach to variable selection through stability selection and the use of a permutation-based objective stability threshold. Lima et al (2021) <doi:10.1038/s41598-020-79317-8>, Meinshausen and Buhlmann (2010) <doi:10.1111/j.1467-9868.2010.00740.x>.
Version: | 1.0.2 |
Depends: | R (≥ 3.0.0) |
Imports: | glmnet, dplyr, bigstep, rsample, tibble, purrr, tidyr, stringr, ggplot2, broom, caret, ncvreg, knitr, Hmisc, expss, lme4, matrixStats, recipes, lmerTest |
Suggests: | rmarkdown, testthat (≥ 3.0.0), markdown |
Published: | 2022-06-07 |
Author: | Robert Hyde [aut, cre], Martin Green [aut], Eliana Lima [aut] |
Maintainer: | Robert Hyde <robert.hyde4 at nottingham.ac.uk> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | stabiliser results |
Reference manual: | stabiliser.pdf |
Vignettes: |
stabiliser |
Package source: | stabiliser_1.0.2.tar.gz |
Windows binaries: | r-devel: stabiliser_1.0.2.zip, r-release: stabiliser_1.0.2.zip, r-oldrel: stabiliser_1.0.2.zip |
macOS binaries: | r-release (arm64): stabiliser_1.0.2.tgz, r-oldrel (arm64): stabiliser_1.0.2.tgz, r-release (x86_64): stabiliser_1.0.2.tgz, r-oldrel (x86_64): stabiliser_1.0.2.tgz |
Old sources: | stabiliser archive |
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