plot.see_parameters_brms_meta: Plot method for Model Parameters from Bayesian Meta-Analysis

Description

The plot() method for the parameters::model_parameters() function when used with brms-meta-analysis models.

Usage

# S3 method for see_parameters_brms_meta
plot(
  x,
  size_point = 2,
  linewidth = 0.8,
  size_text = 3.5,
  alpha_posteriors = 0.7,
  alpha_rope = 0.15,
  color_rope = "cadetblue",
  normalize_height = TRUE,
  show_labels = TRUE,
  ...
)

Value

A ggplot2-object.

Arguments

x: An object.
size_point: Numeric specifying size of point-geoms.
linewidth: Numeric value specifying size of line geoms.
size_text: Numeric value specifying size of text labels.
alpha_posteriors: Numeric value specifying alpha for the posterior distributions.
alpha_rope: Numeric specifying transparency level of ROPE ribbon.
color_rope: Character specifying color of ROPE ribbon.
normalize_height: Logical. If TRUE, height of mcmc-areas is "normalized", to avoid overlap. In certain cases when the range of a posterior distribution is narrow for some parameters, this may result in very flat mcmc-areas. In such cases, set normalize_height = FALSE.
show_labels: Logical. If TRUE, text labels are displayed.
...: Arguments passed to or from other methods.

Details

Colors of density areas and errorbars

To change the colors of the density areas, use scale_fill_manual() with named color-values, e.g. scale_fill_manual(values = c("Study" = "blue", "Overall" = "green")). To change the color of the error bars, use scale_color_manual(values = c("Errorbar" = "red")).

Show or hide estimates and CI

Use show_labels = FALSE to hide the textual output of estimates and credible intervals.