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 $H_0: phi <= delta$.
Package details |
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Author | Xiaorui (Jeremy) Zhu [aut, cre], Shaobo Li [aut], Dungang Liu [ctb, aut], Yuejie Chen [ctb] |
Maintainer | Xiaorui (Jeremy) Zhu <zhuxiaorui1989@gmail.com> |
License | GPL (>= 2) |
Version | 0.1.10 |
URL | GitHub: https://github.com/XiaoruiZhu/PAsso |
Package repository | View on CRAN |
Installation |
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