Creates diagnostic plots for the Bayesian Egger's test, including a funnel plot with posterior latent SEs and a posterior distribution plot for the slope parameter.
Usage
egger_plot(
x,
type = c("funnel", "beta_posterior", "both"),
show_observed = TRUE,
contour_lines = TRUE,
contour_alpha = 0.15,
color_observed = "grey50",
color_latent = "#D55E00",
color_pooled = "blue",
color_contour = "grey50",
point_size = 3,
...
)Arguments
- x
A bayesma_egger object
- type
Character. Type of plot: "funnel" (default), "beta_posterior", or "both".
- show_observed
Logical. Show observed SEs alongside latent SEs? Default TRUE.
- contour_lines
Logical. Add significance contour regions? Default TRUE.
- contour_alpha
Numeric. Alpha transparency for contour shading. Default 0.15.
- color_observed
Color for observed SE points. Default "grey50".
- color_latent
Color for latent SE points. Default "#D55E00".
- color_pooled
Color for pooled estimate line. Default "blue".
- color_contour
Color for contour fills. Default "grey50".
- point_size
Numeric. Size of study points. Default 3.
- ...
Additional arguments (currently unused)