The sparse principal component regression is computed. The regularization parameters are optimized by cross-validation.
| Version: | 2.1.1 |
| Published: | 2022-10-16 |
| Author: | Shuichi Kawano |
| Maintainer: | Shuichi Kawano <skawano at math.kyushu-u.ac.jp> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://doi.org/10.1016/j.csda.2015.03.016, https://doi.org/10.1016/j.csda.2018.03.008, https://sites.google.com/site/shuichikawanoen/software |
| NeedsCompilation: | yes |
| CRAN checks: | spcr results |
| Reference manual: | spcr.pdf |
| Package source: | spcr_2.1.1.tar.gz |
| Windows binaries: | r-prerel: spcr_2.1.1.zip, r-release: spcr_2.1.1.zip, r-oldrel: spcr_2.1.1.zip |
| macOS binaries: | r-prerel (arm64): spcr_2.1.1.tgz, r-release (arm64): spcr_2.1.1.tgz, r-oldrel (arm64): spcr_2.1.1.tgz, r-prerel (x86_64): spcr_2.1.1.tgz, r-release (x86_64): spcr_2.1.1.tgz |
| Old sources: | spcr archive |
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