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: 0.7.3
Depends: R (≥ 3.1.3)
Imports: stats, graphics
Published: 2020-03-04
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_0.7.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pesel_0.7.3.tgz, r-oldrel (arm64): pesel_0.7.3.tgz, r-release (x86_64): pesel_0.7.3.tgz, r-oldrel (x86_64): pesel_0.7.3.tgz
Old sources: pesel archive

Reverse dependencies:

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


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