# Post-Estimation Functions for Generalized Linear Mixed Models

## Documentation for package ‘catregs’ version 1.2.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

compare.margins | Compares two marginal effects (MEMs or AMEs). Estimate of uncertainty is from a simulated draw from a normal distribution.
count.fit | Fits four different count models and compares them.
diagn | Computes diagnostics for generalized linear models.
ess | A subset of data from the European Social Survey
essUK | A subset of data from the European Social Survey
first.diff.fitted | Computes the first difference in fitted values, or a series of first differences. Inference in supported via the delta method or bootstrapping.
gss2016 | Data from the 2016 General Social Survey.
LF06art | Data to replicate Long and Freese's (2006) count models (pp354-414)
LF06travel | Travel time example data for alternative-specific outcomes.
list.coef | Transform glm and mixed model objects into model summaries that include coefficients, standard errors, exponentiated coefficients, confidence intervals and percent change.
logan | Replication data for Logan's (1983) application of conditional logistic regression to mobility processes.
margins.dat | Add model predictions, standard errors and confidence intervals to a design matrix for a model object.
margins.dat.clogit | Computes predicted probabilities for conditional and rank-order/exploded logistic regression models. Inference is based upon simulation techniques (requires the MASS package). Alternatively, bootstrapping is an option for conditional logistic regression models.
margins.des | Creates a design matrix of idealized data for illustrating model predictions.
Mize19AH | Add-Health Data analzed in Mize (2019)
Mize19GSS | General Social Survey Data analzed in Mize (2019)
rubins.rule | Aggregate Standard Errors using Rubin's Rule.
second.diff.fitted | Computes the second difference in fitted values. Inference in supported via the delta method or bootstrapping.
wagepan | Data to illustrate mixed effects regression models with serial correlation.