pesel: Automatic Estimation of Number of Principal Components in PCA

Automatic estimation of number of principal components in PCA with PEnalized SEmi-integrated Likelihood (PESEL). See Piotr Sobczyk, Malgorzata Bogdan, Julie Josse "Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood" (2017) <doi:10.1080/10618600.2017.1340302>.

Version: 0.7.5
Depends: R (≥ 3.1.3)
Imports: stats, graphics
Published: 2023-10-17
DOI: 10.32614/CRAN.package.pesel
Author: Piotr Sobczyk, Julie Josse, Malgorzata Bogdan
Maintainer: Piotr Sobczyk <pj.sobczyk at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: pesel results


Reference manual: pesel.pdf


Package source: pesel_0.7.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pesel_0.7.5.tgz, r-oldrel (arm64): pesel_0.7.5.tgz, r-release (x86_64): pesel_0.7.5.tgz, r-oldrel (x86_64): pesel_0.7.5.tgz
Old sources: pesel archive

Reverse dependencies:

Reverse imports: fMRIscrub, templateICAr, varclust
Reverse suggests: fMRItools


Please use the canonical form to link to this page.