Hierarchical Dirichlet Process Generalized Linear Models

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Documentation for package ‘hdpGLM’ version 1.0.3

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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