Post-Estimation Functions for Generalized Linear Mixed Models
Compares two marginal effects (MEMs or AMEs). Estimate of uncertainty ...
Fits four different count models and compares them.
Computes diagnostics for generalized linear models.
Computes the first difference in fitted values, or a series of first d...
Transform glm and mixed model objects into model summaries that includ...
Computes predicted probabilities for conditional and rank-order/explod...
Add model predictions, standard errors and confidence intervals to a d...
Creates a design matrix of idealized data for illustrating model predi...
Aggregate Standard Errors using Rubin's Rule.
Computes the second difference in fitted values. Inference in supporte...
Several functions for working with mixed effects regression models for limited dependent variables. The functions facilitate post-estimation of model predictions or margins, and comparisons between model predictions for assessing or probing moderation. Additional helper functions facilitate model comparisons and implements simulation-based inference for model predictions of alternative-specific outcome models. See also, Melamed and Doan (2024, ISBN: 978-1032509518).