Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) <doi:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.
| Version: | 0.9.4 |
| Depends: | R (≥ 3.0), methods, foreach, iterators |
| Imports: | stats, graphics, grDevices, utils |
| Suggests: | parallel, doParallel, doRNG (≥ 1.6), knitr (≥ 1.8), lhs, MASS, caret, mlbench, e1071, nnet, kernlab |
| Published: | 2019-12-03 |
| Author: | F.J. Martinez-de-Pison [aut, cre] |
| Maintainer: | F.J. Martinez-de-Pison <fjmartin at unirioja.es> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/jpison/GAparsimony |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | GAparsimony results |
| Reference manual: | GAparsimony.pdf |
| Package source: | GAparsimony_0.9.4.tar.gz |
| Windows binaries: | r-devel: GAparsimony_0.9.4.zip, r-release: GAparsimony_0.9.4.zip, r-oldrel: GAparsimony_0.9.4.zip |
| macOS binaries: | r-release: GAparsimony_0.9.4.tgz, r-oldrel: GAparsimony_0.9.4.tgz |
| Old sources: | GAparsimony archive |
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