Man pages for rpruim/CalvinBayes
Support for Computational Bayesian Analysis Courses
| 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 |
