acf_plot | ACF Plots |
Ancy | Plant growth experiment |
as | Convert objects to another type of object |
as.mcmc.list.stanfit | Convert stanfit Object to mcmc list Object |
BernGrid | Bayesian inference for a proportion via grid method |
beta_params | Compute parameters of a beta distribution |
diag_mcmc | Diagnostic Plots for MCMC samples |
gamma_params | Compute parameters of a gamma distribution |
gg_dag | Plot DAGs simply |
hdi | Compute highest density intervals |
metropolis | Metropolis algorithm |
neff | Effective Sample Size for MCMC objects |
peek | Perform side effect |
plot_post | Plot posterior samples |
posterior | Extract posterior samples as a tidy data frame |
posterior_calc | Make posterior cacluations |
print.rjags | Print summary.rjags objects |
quick_bern_beta | Quick determination of posterior from a beta prior and... |
stanfit | Extract Stan fit from wrapper object |
student_t | Shifted and scaled t distributions |
summary.rjags | Summarize an rjags object |
zero_one | Convert vector to 0's and 1's |
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