Man pages for catregs
Post-Estimation Functions for Generalized Linear Mixed Models

compare.marginsCompares two marginal effects (MEMs or AMEs). Estimate of...
count.fitFits four different count models and compares them.
diagnComputes diagnostics for generalized linear models.
essA subset of data from the European Social Survey
essUKA subset of data from the European Social Survey
first.diff.fittedComputes the first difference in fitted values, or a series...
gss2016Data from the 2016 General Social Survey.
LF06artData to replicate Long and Freese's (2006) count models...
LF06travelTravel time example data for alternative-specific outcomes.
list.coefTransform glm and mixed model objects into model summaries...
loganReplication data for Logan's (1983) application of...
margins.datAdd model predictions, standard errors and confidence...
margins.dat.clogitComputes predicted probabilities for conditional and...
margins.desCreates a design matrix of idealized data for illustrating...
Mize19AHAdd-Health Data analzed in Mize (2019)
Mize19GSSGeneral Social Survey Data analzed in Mize (2019)
rubins.ruleAggregate Standard Errors using Rubin's Rule.
second.diff.fittedComputes the second difference in fitted values. Inference in...
wagepanData to illustrate mixed effects regression models with...
catregs documentation built on Sept. 11, 2024, 6:18 p.m.