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 |