CRAN/E | PAsso

PAsso

Assessing the Partial Association Between Ordinal Variables

Installation

About

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 $H_0: phi <= delta$.

GitHub: github.com/XiaoruiZhu/PAsso
Bug report File report

Key Metrics

Version 0.1.10
R ≥ 3.5.0
Published 2021-06-18 1015 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks PAsso results

Downloads

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Maintainer

Maintainer

Xiaorui (Jeremy) Zhu

zhuxiaorui1989@gmail.com

Authors

Xiaorui

(Jeremy)

Zhu

aut / cre

Shaobo Li

aut

Dungang Liu

ctb / aut

Yuejie Chen

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PAsso archive

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

Suggests

doParallel ≥ 1.0.11
tidyverse
goftest
faraway
ordinal
rms
testthat
mgcv
PResiduals
knitr
rmarkdown
truncdist

LinkingTo

Rcpp