diagnostic.b3lmeta function

Diagnostic function for b3lmeta object in jarbes

This function performers an approximated Bayesian cross-validation for a b3lmeta object

## S3 method for class 'b3lmeta'
diagnostic(
  object,
  post.p.value.cut = 0.05,
  study.names = NULL,
  size.forest = 0.4,
  lwd.forest = 0.2,
  shape.forest = 23,
  ...
)

Arguments

• object: The object generated by the function b3lmeta.
• post.p.value.cut: Posterior p-value cut point to assess outliers.
• study.names: Character vector containing names of the studies used.
• size.forest: Size of the center symbol mark in the forest-plot lines
• lwd.forest: Thickness of the lines in the forest-plot
• shape.forest: Type of symbol for the center mark in the forest-plot lines
• ...: ...