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 |