GAparsimony
Searching Parsimony Models with Genetic Algorithms
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.9.5 |
rolling source/ R- | GAparsimony_0.9.5.tar.gz |
26.3 KiB |
0.9.5 |
rolling linux/jammy R-4.5 | GAparsimony_0.9.5.tar.gz |
234.3 KiB |
0.9.5 |
latest source/ R- | GAparsimony_0.9.5.tar.gz |
26.3 KiB |
0.9.5 |
latest linux/jammy R-4.5 | GAparsimony_0.9.5.tar.gz |
234.3 KiB |
0.9.5 |
2026-04-23 source/ R- | GAparsimony_0.9.5.tar.gz |
26.3 KiB |
0.9.5 |
2026-04-09 windows/windows R-4.5 | GAparsimony_0.9.5.zip |
237.2 KiB |
0.9.5 |
2025-04-20 source/ R- | GAparsimony_0.9.5.tar.gz |
26.3 KiB |