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pcaPP: Robust PCA by Projection Pursuit

Installation

The pcaPP package is on CRAN (The Comprehensive R Archive Network) and the latest release can be easily installed using the command

install.packages("pcaPP")

Building from source

To install the latest stable development version from GitHub, you can pull this repository and install it using

## install.packages("remotes")
remotes::install_github("valentint/pcaPP")

Of course, if you have already installed remotes, you can skip the first line (I have commented it out).

Community guidelines

Report issues and request features

If you experience any bugs or issues or if you have any suggestions for additional features, please submit an issue via the Issues tab of this repository. Please have a look at existing issues first to see if your problem or feature request has already been discussed.

Contribute to the package

If you want to contribute to the package, you can fork this repository and create a pull request after implementing the desired functionality.

Ask for help

If you need help using the package, or if you are interested in collaborations related to this project, please get in touch with the package maintainer.

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Version

Install

install.packages('pcaPP')

Monthly Downloads

35,025

Version

2.0-5

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Last Published

August 19th, 2024

Functions in pcaPP (2.0-5)

plotcov

Compare two Covariance Matrices in Plots
ScaleAdv

centers and rescales data
qn

scale estimation using the robust Qn estimator
cor.fk

Fast estimation of Kendall's tau rank correlation coefficient
opt.TPO

Model Selection for Sparse (Robust) Principal Components
covPC

Covariance Matrix Estimation from princomp Object
PCAgrid

(Sparse) Robust Principal Components using the Grid search algorithm
plot.opt.TPO

Tradeoff Curves for Sparse PCs
PCAproj

Robust Principal Components using the algorithm of Croux and Ruiz-Gazen (2005)
covPCA

Robust Covariance Matrix Estimation
l1median

Multivariate L1 Median
l1median_NLM

Multivariate L1 Median
objplot

Objective Function Plot for Sparse PCs
data.Zou

Test Data Generation for Sparse PCA examples
PCdiagplot

Diagnostic plot for principal components