gspcr: Generalized Supervised Principal Component Regression
Generalization of supervised principal component regression (SPCR; Bair et al., 2006, <doi:10.1198/016214505000000628>) to support continuous, binary, and discrete variables as outcomes and predictors (inspired by the 'superpc' R package <https://cran.r-project.org/package=superpc>).
| Version: | 0.9.5 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr, FactoMineR, ggplot2, MASS, MLmetrics, nnet, PCAmixdata, reshape2, rlang |
| Suggests: | knitr, lmtest, patchwork, rmarkdown, superpc, testthat (≥ 3.0.0) |
| Published: | 2024-04-12 |
| Author: | Edoardo Costantini
 [aut, cre] |
| Maintainer: | Edoardo Costantini <costantini.edoardo at yahoo.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | gspcr results |
Documentation:
| Reference manual: | gspcr.pdf |
| Vignettes: |
Vignette 1: Example analysis with GSPCR Vignette 2: GSPCR specification options Vignette 3: Alternatives approaches |
Downloads:
| Package source: | gspcr_0.9.5.tar.gz |
| Windows binaries: | r-devel: gspcr_0.9.5.zip, r-release: gspcr_0.9.5.zip, r-oldrel: gspcr_0.9.5.zip |
| macOS binaries: | r-release (arm64): gspcr_0.9.5.tgz, r-oldrel (arm64): gspcr_0.9.5.tgz, r-release (x86_64): gspcr_0.9.5.tgz, r-oldrel (x86_64): gspcr_0.9.5.tgz |
| Old sources: | gspcr archive |
Linking:
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