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PAsso: Assessing the Partial Association Between Ordinal Variables

An implementation of the unified framework for assessing partial association between ordinal variables after adjusting for a set of covariates (Dungang Liu, Shaobo Li, Yan Yu and Irini Moustaki (2020), accepted by the Journal of the American Statistical Association). This package provides a set of tools to quantify, visualize, and test partial associations between multiple ordinal variables. It can produce a number of $phi$ measures, partial regression plots, 3-D plots, and $p$-values for testing $H_0: phi=0$ or $H_0: phi <= delta$.

Version: 0.1.10
Depends: R (≥ 3.5.0), stats (≥ 3.5.0), ggplot2 (≥ 2.2.1), dplyr
Imports: VGAM, copBasic, pcaPP (≥ 1.9-73), methods, foreach (≥ 1.4.8), MASS (≥ 7.3-51.0), GGally, gridExtra, utils (≥ 3.5.3), progress (≥ 1.2.0), plotly, copula
LinkingTo: Rcpp
Suggests: doParallel (≥ 1.0.11), tidyverse, goftest, faraway, ordinal, rms, testthat, mgcv, PResiduals, knitr, rmarkdown, truncdist
Published: 2021-06-18
DOI: 10.32614/CRAN.package.PAsso
Author: Xiaorui (Jeremy) Zhu [aut, cre], Shaobo Li [aut], Dungang Liu [ctb, aut], Yuejie Chen [ctb]
Maintainer: Xiaorui (Jeremy) Zhu <zhuxiaorui1989 at gmail.com>
BugReports: https://github.com/XiaoruiZhu/PAsso/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: GitHub: https://github.com/XiaoruiZhu/PAsso
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: PAsso results

Documentation:

Reference manual: PAsso.pdf

Downloads:

Package source: PAsso_0.1.10.tar.gz
Windows binaries: r-devel: PAsso_0.1.10.zip, r-release: PAsso_0.1.10.zip, r-oldrel: PAsso_0.1.10.zip
macOS binaries: r-release (arm64): PAsso_0.1.10.tgz, r-oldrel (arm64): PAsso_0.1.10.tgz, r-release (x86_64): PAsso_0.1.10.tgz, r-oldrel (x86_64): PAsso_0.1.10.tgz
Old sources: PAsso archive

Reverse dependencies:

Reverse depends: SurrogateRsq

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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