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prinvars  

Principal Variables
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("prinvars", "1.0.0")



Attach the package and use:
library("prinvars")
Maintained by
Ron Holzapfel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-11
Latest Update: 2023-01-09
Description:
Provides methods for reducing the number of features within a data set. See Bauer JO (2021) and Bauer JO, Drabant B (2021) for more information on principal loading analysis.
How to cite:
Ron Holzapfel (2022). prinvars: Principal Variables. R package version 1.0.0, https://cran.r-project.org/web/packages/prinvars. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.1.0 (2022-01-11 20:22)
Other packages that cited prinvars R package
View prinvars citation profile
Other R packages that prinvars depends, imports, suggests or enhances
Complete documentation for prinvars
Functions, R codes and Examples using the prinvars R package
Some associated functions: Block-class . pla.drop_blocks . pla.keep_blocks . pla . print.pla . prinvars-package . show-Block-method . spla . str-Block-method . 
Some associated R codes: block.R . cor.R . explained-variance.R . get-blocks.R . pla.R . prinvars-package.R . scale.R . thresholding.R . utils.R .  Full prinvars package functions and examples
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