Hierarchical Dirichlet Process Generalized Linear Models

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Documentation for package ‘hdpGLM’ version 1.0.3

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

classify	Classify data points
coef.dpGLM	Extract dpGLM fitted coefficients
coef.hdpGLM	Extract hdpGLM fitted coefficients
hdpGLM	Fit Hierarchical Dirichlet Process GLM
hdpGLM_classify	Deprecated
hdpGLM_package	hdpGLM: A package for computating Hierarchical Dirichlet Process Generalized Linear Models
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