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 $H_0: phi <= delta$.

Getting started

Package details

AuthorXiaorui (Jeremy) Zhu [aut, cre], Shaobo Li [aut], Dungang Liu [ctb, aut], Yuejie Chen [ctb]
MaintainerXiaorui (Jeremy) Zhu <zhuxiaorui1989@gmail.com>
LicenseGPL (>= 2)
Version0.1.10
URL GitHub: https://github.com/XiaoruiZhu/PAsso
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PAsso")

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PAsso documentation built on June 18, 2021, 5:09 p.m.