plot_best: Plot eta of the MAP or BMA model of a MCMC fit
In yingboli/BayesMDL: Bayesian MDL for Multiple Changepoint Detection

Plot eta of the MAP or BMA model of a MCMC fit

1	plot_best(results, select = "MAP", varname = NULL, plot_res = FALSE, ...)

`results`	Output object of the function `bmdl`.
`select`	The selected model to plot, `'MAP'` for maximum a posterior, or `'BMA'` for median probability model under Bayesian model averaging.
`varname`	The name of the variable `x`, a character.
`plot_res`	Logical, whether residual plots will be added after the main plots. If `TRUE`, then the following four plots will be added: scatterplot and acf plot of the linear model residuals, and scatterplot and acf plot fo the white noise estimates.
`...`	Other arguments for the `plot` function.