Man pages for jgabry/ppcheck
Plotting for Bayesian Models
| available_ppc | Get or view the names of available plotting or data functions |
| bayesplot-colors | Set, get, or view *bayesplot* color schemes |
| bayesplot-extractors | Extract quantities needed for plotting from model objects |
| bayesplot_grid | Arrange plots in a grid |
| bayesplot-helpers | Convenience functions for adding or changing plot details |
| bayesplot-package | *bayesplot*: Plotting for Bayesian Models |
| bayesplot_theme_get | Get, set, and modify the active *bayesplot* theme |
| example-data | Example draws to use in demonstrations and tests |
| MCMC-combos | Combination plots |
| MCMC-diagnostics | General MCMC diagnostics |
| MCMC-distributions | Histograms and kernel density plots of MCMC draws |
| MCMC-intervals | Plot interval estimates from MCMC draws |
| MCMC-nuts | Diagnostic plots for the No-U-Turn-Sampler (NUTS) |
| MCMC-overview | Plots for Markov chain Monte Carlo simulations |
| MCMC-parcoord | Parallel coordinates plot of MCMC draws |
| MCMC-recover | Compare MCMC estimates to "true" parameter values |
| MCMC-scatterplots | Scatterplots of MCMC draws |
| MCMC-traces | Trace and rank plots of MCMC draws |
| PPC-censoring | PPC censoring |
| PPC-discrete | PPCs for discrete outcomes |
| PPC-distributions | PPC distributions |
| PPC-errors | PPC errors |
| pp_check | Posterior (or prior) predictive checks (S3 generic and... |
| PPC-intervals | PPC intervals |
| PPC-loo | LOO predictive checks |
| PPC-overview | Graphical posterior predictive checking |
| PPC-scatterplots | PPC scatterplots |
| PPC-test-statistics | PPC test statistics |
| PPD-distributions | PPD distributions |
| PPD-intervals | PPD intervals |
| PPD-overview | Plots of posterior or prior predictive distributions |
| PPD-test-statistics | PPD test statistics |
| reexports | Objects exported from other packages |
| theme_default | Default *bayesplot* plotting theme |
| tidy-params | Tidy parameter selection |
