as_coda                 Change the Output Formats of 'clustGLMM'
clustGLMM               Sample MCMC for a Mixture of GLMMs of
                        Mixed-type
clustGLMM-package       Model-Based Clustering of Mixed-Type
                        Longitudinal Data
clustering_probabilities_and_deviance
                        Evaluate Clustering Probabilities and Deviance
                        of Output of 'clustGLMM'
default_varying         Setting Default Values in 'clustGLMM'
generate_longitudinal_mixed_type_data
                        Generate an Artificial Longitudinal Dataset
                        with Mixed-type Outcomes
get_scalar_samples      Extract Samples for Specified Scalar Model
                        Parameter
longitudinal_mixed_type_data
                        A Simulated Dataset of Longitudinal Mixed-Type
                        Data
nice_nrow_ncol          Determine Optimal Matrix Dimensions Given the
                        Number of Cells
plot.clustglmm          Plot the Output of 'clustGLMM'
plot_cat_vs_x_grouped   Plot Clustered Longitudinal (Panel) Data
plot_diagnostics        Plot MCMC Samples from 'clustGLMM'
post_processing         Post-process the Chains Sampled with
                        'clustGLMM'
predict.clustglmm       Predict Method for Class 'clustglmm'
print.clustglmm         Print the Output of 'clustGLMM'
psurvey                 A Simulated Panel Survey Data
slategray.colors        Slategray Color Palette
summary.clustglmm       Compute the Summary Statistics of 'clustGLMM'
                        Output
