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-4.5-noble)PCovR_2.7.2.tar.gz(r-4.4-noble)
PCovR_2.7.2.tgz(r-4.4-emscripten)PCovR_2.7.2.tgz(r-4.3-emscripten)
PCovR.pdf |PCovR.html✨
PCovR/json (API)

# Install 'PCovR' in R:
install.packages('PCovR', repos = '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.

2.68 score 4 packages 406 downloads 4 mentions 11 exports 5 dependencies

Last updated 1 years agofrom:6b832b227a. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-linuxOKMar 19 2025
R-4.4-linuxOKMar 19 2025

Exports:ErrorRatiopcovrpcovr_estpcovr.defaultplot.pcovrprint.pcovrprominSortLoadingssummary.pcovrtarrotobwvarim

Dependencies:GPArotationlatticeMASSMatrixThreeWay

Citation

To cite package ‘PCovR’ in publications use:

Vervloet M, Kiers H, Ceulemans E (2023). PCovR: Principal Covariates Regression. R package version 2.7.2, https://CRAN.R-project.org/package=PCovR.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {PCovR: Principal Covariates Regression},
    author = {Marlies Vervloet and Henk Kiers and Eva Ceulemans},
    year = {2023},
    note = {R package version 2.7.2},
    url = {https://CRAN.R-project.org/package=PCovR},
  }