POV: Partition of Variation Variance Component Analysis Method

An implementation of the Partition Of variation (POV) method as developed by Dr. Thomas A Little <https://thomasalittleconsulting.com> in 1993 for the analysis of semiconductor data for hard drive manufacturing. POV is based on sequential sum of squares and is an exact method that explains all observed variation. It quantitates both the between and within factor variation effects and can quantitate the influence of both continuous and categorical factors.

Version: 0.1.4
Depends: R (≥ 2.10)
Imports: broom, formula.tools, stats
Suggests: testthat, knitr, rmarkdown
Published: 2020-11-16
Author: Paul Deen [aut, cre]
Maintainer: Paul Deen <paulext at gmail.com>
BugReports: https://github.com/PaulAntonDeen/POV-R-Package/issues
License: GPL-3
URL: https://github.com/PaulAntonDeen/POV-R-Package, https://thomasalittleconsulting.com
NeedsCompilation: no
Materials: README
CRAN checks: POV results

Downloads:

Reference manual: POV.pdf
Vignettes: POV
Package source: POV_0.1.4.tar.gz
Windows binaries: r-devel: POV_0.1.4.zip, r-release: POV_0.1.4.zip, r-oldrel: POV_0.1.4.zip
macOS binaries: r-release (arm64): POV_0.1.4.tgz, r-release (x86_64): POV_0.1.4.tgz, r-oldrel: POV_0.1.4.tgz

Linking:

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