FactorAssumptions: Set of Assumptions for Factor and Principal Component Analysis

Tests for Kaiser-Meyer-Olkin (KMO) and communalities in a dataset. It provides a final sample by removing variables in a iterable manner while keeping account of the variables that were removed in each step. It follows the best practices and assumptions according to Hair, Black, Babin & Anderson (2018, ISBN:9781473756540).

Version:	2.0.1
Depends:	R (≥ 3.6.0), MASS, psych
Suggests:	knitr, rmarkdown, testthat (≥ 2.1.0)
Published:	2022-03-08
DOI:	10.32614/CRAN.package.FactorAssumptions
Author:	Jose Storopoli [aut, cre]
Maintainer:	Jose Storopoli <jstoropoli at protonmail.com>
BugReports:	https://github.com/storopoli/FactorAssumptions/issues
License:	GPL-3
URL:	https://github.com/storopoli/FactorAssumptions
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	FactorAssumptions results

Documentation:

Reference manual:	FactorAssumptions.pdf
Vignettes:	How to use FactorAssumptions

Downloads:

Package source:	FactorAssumptions_2.0.1.tar.gz
Windows binaries:	r-devel: FactorAssumptions_2.0.1.zip, r-release: FactorAssumptions_2.0.1.zip, r-oldrel: FactorAssumptions_2.0.1.zip
macOS binaries:	r-release (arm64): FactorAssumptions_2.0.1.tgz, r-oldrel (arm64): FactorAssumptions_2.0.1.tgz, r-release (x86_64): FactorAssumptions_2.0.1.tgz, r-oldrel (x86_64): FactorAssumptions_2.0.1.tgz
Old sources:	FactorAssumptions archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FactorAssumptions to link to this page.