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:
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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- alexithymia - Effect of alexithymia on depression and self-esteem
- psychiatrists - Effect of psychiatric symptoms on toxicomania, schizophrenia, depression and anxiety disorder
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:6b832b227a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-linux | OK | Nov 19 2024 |
Exports:ErrorRatiopcovrpcovr_estpcovr.defaultplot.pcovrprint.pcovrprominSortLoadingssummary.pcovrtarrotobwvarim
Dependencies:GPArotationlatticeMASSMatrixThreeWay
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Principal Covariates Regression | PCovR-package PCovR |
Effect of alexithymia on depression and self-esteem | alexithymia |
Error variance ratio | ErrorRatio |
Full Principal covariates regression analysis of a specific data set | pcovr pcovr.default plot.pcovr print.pcovr summary.pcovr |
Estimation of Principal Covariates Regression parameters, given a prespecified weighting value and number of components | pcovr_est |
Promin rotation | promin |
Effect of psychiatric symptoms on toxicomania, schizophrenia, depression and anxiety disorder | psychiatrists |
Sorting a component loading matrix | SortLoadings |
Oblique target rotation | tarrotob |
Weighted varimax | wvarim |