Adaptive Bayesian Quantile Regression for Count Data
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Documentation for package ‘BayesQRCount’ version 0.1.0
Help Pages
| bqr_count | Bayesian Quantile Regression for Count Data |
| coef.bqr_count | Extract coefficients from bqr_count |
| compare_models | Compare Multiple Bayesian Quantile Regression Models |
| densplot | Posterior Density Plots |
| fitted.bqr_count | Extract fitted values from bqr_count |
| gelman_rubin | Gelman-Rubin Convergence Diagnostic |
| plot.bqr_count | Plot diagnostics for bqr_count |
| plot_effects | Plot coefficient effects across different quantiles |
| predict.bqr_count | Predict Method for Bayesian Quantile Regression Count Models |
| print.bqr_count | Print method for bqr_count objects |
| print.summary.bqr_count | Print method for summary.bqr_count |
| residuals.bqr_count | Extract residuals from bqr_count |
| selection_metrics | Variable Selection Performance Metrics |
| sim_count_data | Simulated Count Data for Bayesian Quantile Regression |
| summary.bqr_count | Summary method for bqr_count objects |
| traceplot | Trace Plots for MCMC Chains |
| variable_select | Variable Selection from Bayesian Quantile Regression |