CRAN/E | gspcr

gspcr

Generalized Supervised Principal Component Regression

Installation

About

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 ).

Key Metrics

Version 0.9.5
R ≥ 2.10
Published 2024-04-12 21 days ago
Needs compilation? no
License MIT
License File
CRAN checks gspcr results

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Maintainer

Maintainer

Edoardo Costantini

costantini.edoardo@yahoo.com

Authors

Edoardo Costantini

aut / cre

Material

README
Reference manual
Package source

Vignettes

Vignette 1: Example analysis with GSPCR
Vignette 2: GSPCR specification options
Vignette 3: Alternatives approaches

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

gspcr archive

Depends

R ≥ 2.10

Imports

dplyr
FactoMineR
ggplot2
MASS
MLmetrics
nnet
PCAmixdata
reshape2
rlang

Suggests

knitr
lmtest
patchwork
rmarkdown
superpc
testthat ≥3.0.0