Model-Based Clustering of Mixed-Type Longitudinal Data


[Up] [Top]

Documentation for package ‘clustGLMM’ version 1.0

Help Pages

clustGLMM-package Model-Based Clustering of Mixed-Type Longitudinal Data
as_coda Change the Output Formats of 'clustGLMM'
clustering_probabilities_and_deviance Evaluate Clustering Probabilities and Deviance of Output of 'clustGLMM'
clustGLMM Sample MCMC for a Mixture of GLMMs of Mixed-type
default_param Setting Default Values in 'clustGLMM'
default_save Setting Default Values in 'clustGLMM'
default_tuning Setting Default Values in 'clustGLMM'
default_varying Setting Default Values in 'clustGLMM'
from_C_to_list Change the Output Formats of 'clustGLMM'
from_C_to_matrix Change the Output Formats of 'clustGLMM'
from_list_to_C Change the Output Formats of 'clustGLMM'
from_list_to_coda Change the Output Formats of 'clustGLMM'
from_list_to_matrix Change the Output Formats of 'clustGLMM'
from_matrix_to_C Change the Output Formats of 'clustGLMM'
from_matrix_to_coda Change the Output Formats of 'clustGLMM'
from_matrix_to_list Change the Output Formats of '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
permute_cluster_labels Post-process the Chains Sampled with 'clustGLMM'
plot.clustglmm Plot the Output of 'clustGLMM'
plot_ACF Plot MCMC Samples from 'clustGLMM'
plot_ACF_param Plot MCMC Samples from 'clustGLMM'
plot_cat_vs_x_grouped Plot Clustered Longitudinal (Panel) Data
plot_clusters Plot MCMC Samples from 'clustGLMM'
plot_clusters_ECDF_param Plot MCMC Samples from 'clustGLMM'
plot_clusters_kerneldensity_param Plot MCMC Samples from 'clustGLMM'
plot_diagnostics Plot MCMC Samples from 'clustGLMM'
plot_ECDF Plot MCMC Samples from 'clustGLMM'
plot_ECDF_param Plot MCMC Samples from 'clustGLMM'
plot_kerneldensity Plot MCMC Samples from 'clustGLMM'
plot_kerneldensity_param Plot MCMC Samples from 'clustGLMM'
plot_ng_trace_chain_split Plot MCMC Samples from 'clustGLMM'
plot_num_vs_x_grouped Plot Clustered Longitudinal (Panel) Data
plot_traceplots Plot MCMC Samples from 'clustGLMM'
plot_traceplots_param 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'
print.summary.clustglmm Compute the Summary Statistics of 'clustGLMM' Output
psurvey A Simulated Panel Survey Data
psurvey_latent A Simulated Panel Survey Data
slategray.colors Slategray Color Palette
slategrey.colors Slategray Color Palette
summary.clustglmm Compute the Summary Statistics of 'clustGLMM' Output