| coef.hmclearn | Extract Model Coefficients |
| diagplots | Diagnostic plots for 'hmclearn' |
| diagplots.hmclearn | Diagnostic plots for 'hmclearn' |
| Drugs | Student Drug Usage Dataset |
| Endometrial | Endometrial Cancer Dataset |
| Gdat | Count of Fresh Gopher Tortoise Shells |
| glmm_bin_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| glmm_poisson_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| g_glmm_bin_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| g_glmm_poisson_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| g_linear_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| g_lmm_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| g_logistic_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| g_poisson_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| hmc | Fit a generic model using Hamiltonian Monte Carlo (HMC) |
| hmc.fit | Fitter function for Hamiltonian Monte Carlo (HMC) |
| hmclearn-glm-posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| hmclearn-plots | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| leapfrog | Leapfrog Algorithm for Hamiltonian Monte Carlo |
| linear_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| lmm_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| logistic_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| mcmc_acf | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_acf.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_acf_bar | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_acf_bar.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_areas | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_areas.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_dens | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_dens.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_hex | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_hex.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_hist | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_hist.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_hist_by_chain | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_hist_by_chain.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_intervals | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_intervals.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_neff | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_neff.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_neff_data | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_neff_data.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_neff_hist | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_neff_hist.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_pairs | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_pairs.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_rhat | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_rhat.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_rhat_hist | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_rhat_hist.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_scatter | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_scatter.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_trace | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_trace.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_violin | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mcmc_violin.hmclearn | Plotting for MCMC visualization and diagnostics provided by 'bayesplot' package |
| mh | Fit a generic model using Metropolis-Hastings (MH) |
| mh.fit | Fitter function for Metropolis-Hastings (MH) |
| neff | Effective sample size calculation |
| neff.hmclearn | Effective sample size calculation |
| plot.hmclearn | Plot Histograms of the Posterior Distribution |
| poisson_posterior | Sample log posterior and gradient functions for select generalized linear models and mixed effect models |
| predict.hmclearn | Model Predictions for HMC or MH |
| psrf | Calculates Potential Scale Reduction Factor (psrf), also called the Rhat statistic, from models fit via 'mh' or 'hmc' |
| psrf.hmclearn | Calculates Potential Scale Reduction Factor (psrf), also called the Rhat statistic, from models fit via 'mh' or 'hmc' |
| qfun | Multivariate Normal Density of Theta1 | Theta2 |
| qprop | Simulate from Multivariate Normal Density for Metropolis Algorithm |
| summary.hmclearn | Summarizing HMC Model Fits |