Functions to generate ensembles of generalized linear models using a greedy projected subset gradient descent algorithm. The sparsity and diversity tuning parameters are selected by cross-validation.
| Version: | 1.0.6 |
| Imports: | Rcpp (≥ 1.0.7) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, mvnfast, vctrs |
| Published: | 2025-03-30 |
| DOI: | 10.32614/CRAN.package.PSGD |
| Author: | Anthony Christidis [aut, cre], Stefan Van Aelst [aut], Ruben Zamar [aut] |
| Maintainer: | Anthony Christidis <anthony.christidis at stat.ubc.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | PSGD results |
| Reference manual: | PSGD.html , PSGD.pdf |
| Package source: | PSGD_1.0.6.tar.gz |
| Windows binaries: | r-devel: PSGD_1.0.6.zip, r-release: PSGD_1.0.6.zip, r-oldrel: PSGD_1.0.6.zip |
| macOS binaries: | r-release (arm64): PSGD_1.0.6.tgz, r-oldrel (arm64): PSGD_1.0.6.tgz, r-release (x86_64): PSGD_1.0.6.tgz, r-oldrel (x86_64): PSGD_1.0.6.tgz |
| Old sources: | PSGD archive |
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