# Hierarchical Dirichlet Process Generalized Linear Models

## Documentation for package ‘hdpGLM’ version 1.0.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

hdpGLM-package | hdpGLM: A package for computating Hierarchical Dirichlet Process Generalized Linear Models
classify | Classify data points
coef.dpGLM | Extract dpGLM fitted coefficients
coef.hdpGLM | Extract hdpGLM fitted coefficients
hdpGLM | hdpGLM: A package for computating Hierarchical Dirichlet Process Generalized Linear Models
hdpGLM_classify | Deprecated
hdpGLM_simParameters | Simulate the parameters of the model
hdpGLM_simulateData | Simulate a Data Set from hdpGLM
mcmc_info.dpGLM | mcmc
mcmc_info.hdpGLM | mcmc
nclusters | nclusters
plot.dpGLM | Default plot for class dpGLM
plot.hdpGLM | Plot
plot_beta | Plot beta posterior distribution
plot_beta_sim | Plot simulated data
plot_hdpglm | Plot posterior distributions
plot_pexp_beta | Plot beta posterior expectation
plot_tau | Plot tau
predict.dpGLM | dpGLM Predicted values
predict.hdpGLM | hdpGLM Predicted values
print.dpGLM | Print
print.dpGLM_data | Print
print.hdpGLM | Print
print.hdpGLM_data | Print
summary.dpGLM | Summary for dpGLM class
summary.dpGLM_data | Summary dpGLM data
summary.hdpGLM | Summary for hdpGLM class
summary.hdpGLM_data | Summary
summary_tidy | Tidy summary
welfare | Fake data set with 2000 observations
welfare2 | Fake data set with 2000 observations