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 y or y/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 y or y/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)