BETplot

BETplot is a name used for plotting tools associated with Bayesian Estimation Techniques (BET) and other statistical visualization utilities. It is not a single, canonical software package; rather, multiple software libraries and research codes have modules or functions named BETplot to visualize Bayesian analysis results. In practice, BETplot-type functionality typically provides plots that summarize parameter uncertainty and model fit from Bayesian analyses.

Common features often found in BETplot implementations include:

- Posterior distribution visualizations, such as density plots or histograms for single parameters and joint plots for pairs of parameters.

- MCMC diagnostics, including trace plots and autocorrelation plots to assess convergence and mixing.

- Credible interval visualization, showing uncertainty ranges alongside point estimates.

- Model comparison visuals, which may illustrate differences in posterior predictions or model evidence across alternatives.

Usage and interfaces vary by implementation. A typical BETplot function accepts a fitted Bayesian model object and one or more parameters to plot, along with options for color, shading, and axis labels. The function then returns one or more figures, which may be produced in base graphics, grid layouts, or ggplot-style panels, depending on the library.

Contexts where BETplot is used include Bayesian linear and generalized linear models, hierarchical (multilevel) models, and survival analyses, among others. Because there is no universal BETplot standard, users should refer to the documentation of the specific package or codebase in use to understand exact syntax and capabilities.