Package: hySAINT 2.3.0
hySAINT: Hybrid Genetic Algorithm and Simulated Annealing for Variable Selection with Interaction Effects
A hybrid genetic algorithm combined with simulated annealing for variable selection in high-dimensional linear regression with two-way interaction effects. The package uses an indexed model formulation for efficient storage and minimizes the ABC (Adaptive Best-subset with Complexity) criterion from Ye and Yang (2019) <doi:10.1109/TIT.2019.2913417>. Features include: (1) support for all three heredity conditions (strong, weak, and no heredity), (2) adaptive temperature control in simulated annealing, (3) LASSO-based screening for ultra-high-dimensional problems, and (4) automatic sigma and lambda tuning. The package scales to problems with thousands of predictors.
Authors:
hySAINT_2.3.0.tar.gz
hySAINT_2.3.0.zip(r-4.7-any)hySAINT_2.3.0.zip(r-4.6-any)hySAINT_2.3.0.zip(r-4.5-any)
hySAINT_2.3.0.tgz(r-4.6-any)hySAINT_2.3.0.tgz(r-4.5-any)
hySAINT_2.3.0.tar.gz(r-4.7-any)hySAINT_2.3.0.tar.gz(r-4.6-any)
hySAINT_2.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
hySAINT/json (API)
| # Install 'hySAINT' in R: |
| install.packages('hySAINT', repos = c('https://lli289.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lli289/hysaint/issues
Last updated from:e89575feb8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 122 | ||
| source / vignettes | OK | 158 | ||
| linux-release | OK | 124 | ||
| macos-release | OK | 179 | ||
| macos-oldrel | OK | 220 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 73 | ||
| windows-oldrel | OK | 85 | ||
| wasm-release | OK | 90 |
Exports:ABCcrossoverevaluate_individualgenerate_initial_populationgenerate_inter_poolhySAINTmutatescreen_main_effects
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ABC Evaluation Criterion | ABC |
| Crossover Operator | crossover |
| Evaluate an Individual by ABC Score | evaluate_individual |
| Generate Initial Population for Genetic Algorithm | generate_initial_population |
| Generate Interaction Pool | generate_inter_pool |
| Hybrid Genetic Algorithm and Simulated Annealing for Variable Selection | hySAINT |
| Mutation Operator | mutate |
| Screen Main Effects Using LASSO | screen_main_effects |