Methods of selecting one from many numeric predictors for a regression model, to ensure that the additional predictor has the maximum effect size.
| Version: | 0.2.3 |
| Depends: | R (≥ 4.5), groupedHyperframe (≥ 0.3.0) |
| Imports: | parallel, doParallel, foreach, caret, rpart, spatstat.geom |
| Suggests: | survival |
| Published: | 2026-03-02 |
| DOI: | 10.32614/CRAN.package.maxEff |
| Author: | Tingting Zhan |
| Maintainer: | Tingting Zhan <tingtingzhan at gmail.com> |
| License: | GPL-2 |
| URL: | https://github.com/tingtingzhan/maxEff, https://tingtingzhan.quarto.pub/groupedhyperframe/maxEff.html, https://tingtingzhan-groupedhyperframe.netlify.app/maxEff.html |
| NeedsCompilation: | no |
| Language: | en-US |
| CRAN checks: | maxEff results |
| Reference manual: | maxEff.html , maxEff.pdf |
| Package source: | maxEff_0.2.3.tar.gz |
| Windows binaries: | r-devel: maxEff_0.2.2.zip, r-release: maxEff_0.2.2.zip, r-oldrel: maxEff_0.1.1.zip |
| macOS binaries: | r-release (arm64): maxEff_0.2.2.tgz, r-oldrel (arm64): maxEff_0.1.1.tgz, r-release (x86_64): maxEff_0.2.2.tgz, r-oldrel (x86_64): maxEff_0.1.1.tgz |
| Old sources: | maxEff archive |
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