Plot method for point estimates of posterior samplesSource:
# S3 method for see_point_estimate plot( x, data = NULL, size_point = 2, size_text = 3.5, panel = TRUE, show_labels = TRUE, show_intercept = FALSE, priors = FALSE, priors_alpha = 0.4, ... )
The original data used to create this object. Can be a statistical model.
Numeric specifying size of point-geoms.
Numeric value specifying size of text labels.
TRUE, plots are arranged as panels; else, single plots are returned.
TRUE, the text labels for the point estimates (i.e. "Mean", "Median" and/or "MAP") are shown. You may set
show_labels = FALSEin case of overlapping labels, and add your own legend or footnote to the plot.
TRUE, the intercept-parameter is included in the plot. By default, it is hidden because in many cases the intercept-parameter has a posterior distribution on a very different location, so density curves of posterior distributions for other parameters are hardly visible.
TRUE, prior distributions are simulated (using
bayestestR::simulate_prior()) and added to the plot.
Numeric value specifying alpha for the prior distributions.
Arguments passed to or from other methods.