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epca  

Exploratory Principal Component Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("epca", "1.1.0")



Attach the package and use:
library("epca")
Maintained by
Fan Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-26
Latest Update: 2023-07-10
Description:
Exploratory principal component analysis for large-scale dataset, including sparse principal component analysis and sparse matrix approximation.
How to cite:
Fan Chen (2020). epca: Exploratory Principal Component Analysis. R package version 1.1.0, https://cran.r-project.org/web/packages/epca. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2020-06-26 12:10), 1.0.1 (2023-02-07 11:42)
Other packages that cited epca R package
View epca citation profile
Other R packages that epca depends, imports, suggests or enhances
Complete documentation for epca
Functions, R codes and Examples using the epca R package
Some associated functions: absmin.criteria . absmin . cpve . dist.matrix . distance . epca-package . exp.frac . hard . inner . labelCluster . misClustRate . norm.Lp . permColumn . pitprops . polar . print.sca . print.sma . prs . pve . rootmatrix . rotation . sca . shrinkage . sma . soft . varimax.criteria . varimax . vgQ.absmin . 
Some associated R codes: core.R . epca.R . utility.R .  Full epca package functions and examples
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