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gspcr  

Generalized Supervised Principal Component Regression
View on CRAN: Click here


Download and install gspcr package within the R console
Install from CRAN:
install.packages("gspcr")

Install from Github:
library("remotes")
install_github("cran/gspcr")

Install by package version:
library("remotes")
install_version("gspcr", "0.9.5")



Attach the package and use:
library("gspcr")
Maintained by
Edoardo Costantini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-17
Latest Update: 2024-04-12
Description:
Generalization of supervised principal component regression (SPCR; Bair et al., 2006, ) to support continuous, binary, and discrete variables as outcomes and predictors (inspired by the 'superpc' R package ).
How to cite:
Edoardo Costantini (2023). gspcr: Generalized Supervised Principal Component Regression. R package version 0.9.5, https://cran.r-project.org/web/packages/gspcr. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:46), 0.9.4.1 (2023-11-21 23:30), 0.9.4 (2023-11-17 21:20)
Other packages that cited gspcr R package
View gspcr citation profile
Other R packages that gspcr depends, imports, suggests or enhances
Complete documentation for gspcr
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