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Functions to generate ensembles of generalized linear models using competing proximal gradients. The optimal sparsity and diversity tuning parameters are selected via an alternating grid search.
| Version: | 1.1.1 |
| Imports: | Rcpp (≥ 1.0.3) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, vctrs, mvnfast |
| Published: | 2022-11-22 |
| DOI: | 10.32614/CRAN.package.CPGLIB |
| 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: | CPGLIB results |
| Reference manual: | CPGLIB.pdf |
| Package source: | CPGLIB_1.1.1.tar.gz |
| Windows binaries: | r-devel: CPGLIB_1.1.1.zip, r-release: CPGLIB_1.1.1.zip, r-oldrel: CPGLIB_1.1.1.zip |
| macOS binaries: | r-release (arm64): CPGLIB_1.1.1.tgz, r-oldrel (arm64): CPGLIB_1.1.1.tgz, r-release (x86_64): CPGLIB_1.1.1.tgz, r-oldrel (x86_64): CPGLIB_1.1.1.tgz |
| Old sources: | CPGLIB archive |
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These binaries (installable software) and packages are in development.
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