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 |
| 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 |