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:

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