gspcr-package: gspcr: Generalized Supervised Principal Component Regression
In gspcr: Generalized Supervised Principal Component Regression
gspcr-package R Documentation
gspcr: Generalized Supervised Principal Component Regression
Description
Generalization of supervised principal component regression (SPCR; Bair et al., 2006, \Sexpr[results=rd]{tools:::Rd_expr_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).
Author(s)
Maintainer: Edoardo Costantini costantini.edoardo@yahoo.com (ORCID)
gspcr documentation built on May 29, 2024, 2:44 a.m.
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| gspcr-package | R Documentation |
gspcr: Generalized Supervised Principal Component Regression
Description
Generalization of supervised principal component regression (SPCR; Bair et al., 2006, \Sexpr[results=rd]{tools:::Rd_expr_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).
Author(s)
Maintainer: Edoardo Costantini costantini.edoardo@yahoo.com (ORCID)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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