Assessing the Partial Association Between Ordinal Variables
Residual-based diagnostic plots
Residual-based diagnostic plots
Simulate sample from truncated distribution
generate_residuals_acat
p_adj_cate
Partial association analysis between ordinal responses after adjusting...
A matrix of partial regression plots between responses after adjustmen...
3-D P-P plot and false color level plot for the inspection of the part...
plot3D_one
Print partial association matrix
Extract Model Residuals
This is a function to deal with the vglm object in S4.
Extract Residuals from models of VGAM
Summary of partial association analysis
Surrogate response
Hypothesis testing of the partial association coefficients
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 $H_0: phi <= delta$.