plot.flexreg_postpred function

Plot Method for flexreg_postpred objects

Plot Method for flexreg_postpred objects

Method for an object of class flexreg_postpred containing the simulated posterior predictive distribution, usually the result of posterior_predict function. The plot shows the posterior predictive interval for each statistical unit. Additionally, the mean of the posterior predictives and the values of the observed response (either yy or y/ny/n for bounded continuous or discrete responses, respectively) can be added.

## S3 method for class 'flexreg_postpred' plot(x, prob = 0.9, p_mean = F, response = NULL, ...)

Arguments

  • x: an object of class flexreg_postpred containing the simulated posterior predictives, usually the result of posterior_predict.
  • prob: the interval probability for the posterior predictives (default is 0.9).
  • p_mean: a logical value indicating whether the posterior predictives' mean should be plotted.
  • response: a numerical vector containing the response (either yy or y/ny/n for bounded continuous or discrete responses, respectively) to be added to the plot. If NULL, observed values are not plotted.
  • ...: additional arguments. Currently not used.

Examples

## Not run: data("Reading") FB <- flexreg(accuracy ~ iq, data = Reading) pp <- posterior_predict(FB) plot(pp) ## End(Not run)
  • Maintainer: Roberto Ascari
  • License: GPL (>= 2)
  • Last published: 2025-04-14

Useful links