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PAsso  

Assessing the Partial Association Between Ordinal Variables
View on CRAN: Click here


Download and install PAsso package within the R console
Install from CRAN:
install.packages("PAsso")

Install from Github:
library("remotes")
install_github("cran/PAsso")

Install by package version:
library("remotes")
install_version("PAsso", "0.1.10")



Attach the package and use:
library("PAsso")
Maintained by
Xiaorui (Jeremy) Zhu
[Scholar Profile | Author Map]
First Published: 2020-07-13
Latest Update: 2021-06-18
Description:
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 $H_0: phi <= delta$.
How to cite:
Xiaorui (Jeremy) Zhu (2020). PAsso: Assessing the Partial Association Between Ordinal Variables. R package version 0.1.10, https://cran.r-project.org/web/packages/PAsso. Accessed 08 May. 2025.
Previous versions and publish date:
0.1.8 (2020-07-13 10:50), 0.1.9 (2021-05-07 06:50)
Other packages that cited PAsso R package
View PAsso citation profile
Other R packages that PAsso depends, imports, suggests or enhances
Complete documentation for PAsso
Functions, R codes and Examples using the PAsso R package
Some associated functions: ANES2016 . PAsso . autoplot . df1 . diagnostic.plot . dot-rtrunc . generate_residuals_acat . p_adj_cate . plot . plot3D . plot3D_one . print . residuals . residualsAcat . residualsVGAM . summary . surrogate . test . 
Some associated R codes: PAsso.R . RcppExports.R . autoplot.R . data.R . diagnostic.plot.R . plot.R . plot3D.R . residuals.R . surrogate.R . test.R . utils.R .  Full PAsso package functions and examples
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