Package: PCovR 2.7.2

Kristof Meers

PCovR: Principal Covariates Regression

Analyzing regression data with many and/or highly collinear predictor variables, by simultaneously reducing the predictor variables to a limited number of components and regressing the criterion variables on these components (de Jong S. & Kiers H. A. L. (1992) <doi:10.1016/0169-7439(92)80100-I>). Several rotation and model selection options are provided.

Authors:Marlies Vervloet [aut, cre], Henk Kiers [aut], Eva Ceulemans [ctb]

PCovR_2.7.2.tar.gz
PCovR_2.7.2.tar.gz(r-4.7-any)PCovR_2.7.2.tar.gz(r-4.6-any)
PCovR_2.7.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PCovR/json (API)

# Install 'PCovR' in R:
install.packages('PCovR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • alexithymia - Effect of alexithymia on depression and self-esteem
  • psychiatrists - Effect of psychiatric symptoms on toxicomania, schizophrenia, depression and anxiety disorder

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.76 score 4 packages 12 scripts 324 downloads 4 mentions 11 exports 5 dependencies

Last updated from:6b832b227a. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK150
source / vignettesOK245
linux-release-x86_64OK139
wasm-releaseOK100

Exports:ErrorRatiopcovrpcovr_estpcovr.defaultplot.pcovrprint.pcovrprominSortLoadingssummary.pcovrtarrotobwvarim

Dependencies:GPArotationlatticeMASSMatrixThreeWay