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SCGLR
View on CRAN: Click
here
Download and install SCGLR package within the R console
Install from CRAN:
install.packages("SCGLR")
Install from Github:
library("remotes")
install_github("cran/SCGLR")
Install by package version:
library("remotes")
install_version("SCGLR", "3.0")
Attach the package and use:
library("SCGLR")
Maintained by
Guillaume Cornu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.SCGLR . https://github.com/SCnext/SCGLR/issues . https://scnext.github.io/SCGLR/ . https://github.com/scnext/SCGLR . https://cran.r-project.org/package=SCGLR . SCGLR results . SCGLR.pdf . SCGLR_3.1.0.tar.gz . SCGLR_3.1.0.zip . SCGLR_3.1.0.zip . SCGLR_3.1.0.zip . SCGLR_3.1.0.tgz . SCGLR_3.1.0.tgz . SCGLR_3.1.0.tgz . SCGLR_3.1.0.tgz . SCGLR archive . https://CRAN.R-project.org/package=SCGLR .
First Published: 2013-08-01
Latest Update: 2018-09-28
Description:
An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM
estimation in the multivariate context. Covariates can also be grouped in themes.
How to cite:
Guillaume Cornu (2013). SCGLR: Supervised Component Generalized Linear Regression. R package version 3.0, https://cran.r-project.org/web/packages/SCGLR. Accessed 18 Apr. 2025.
Previous versions and publish date:
Other packages that cited SCGLR R package
View SCGLR citation profile
Other R packages that SCGLR depends,
imports, suggests or enhances
Complete documentation for SCGLR
Functions, R codes and Examples using
the SCGLR R package
Some associated functions: barplot.SCGLR . barplot.SCGLRTHM . cash-.MultivariateFormula . critConvergence . customize . genus . infoCriterion . methodSR . multivariateFormula . multivariateGlm.fit . multivariatePredictGlm . pairs.SCGLR . plot.SCGLR . plot.SCGLRTHM . print.MultivariateFormula . print.SCGLR . scglr . scglrCrossVal . scglrTheme . scglrThemeBackward . screeplot.SCGLR . screeplot.SCGLRTHM . summary.SCGLR .
Some associated R codes: Full SCGLR package functions and examples
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