p_adj_cate

<p>A numerical vector that inputs the latent variable for generating probabilities of adjacent
categories regression model.</p>

internal

An implementation of the unified framework for assessing partial
association between ordinal variables after adjusting a set of covariates
(Dungang Liu, Shaobo Li, Yan Yu and Irini Moustaki (2020). Accepted by JASA).
This package provides a set of tools to quantify partial association, conduct
hypothesis testing for partial association, visualize partial regression models,
and diagnose the specifications of each fitted model. This framework is
based on the surrogate approach described in Liu and Zhang (2017) (<doi:10.1080/01621459.2017.1292915>).

XiaoruiJeremy Zhu

PAsso

Assessing the Partial Association Between Ordinal Variables

Xiaorui (Jeremy) Zhu

Shaobo Li

Yuejie  Chen

Dungang Liu

p_adj_cate function

p_adj_cate — p_adj_cate

p_adj_cate: p_adj_cate

Description

Usage

Arguments

Value