generate_residuals_acat

A vector inputs the response variable.

A data.frame inputs the covariates.

A vector provides the estimated intercepts of adjacent categories model. If the response
has k levels, there should be k+1 numbers in this alpha argument with the k-1 estimated intercepts.
The lower bound and upper bound are "-Inf" and "Inf".

alpha

A vector provides the estimated coefficients.

beta

A number to specify the replication of residuals.

nsim

internal

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 $H_0: phi <= delta$.

generate_residuals_acat: generate_residuals_acat

Description

Usage

Arguments

Value