diagnostic.bmeta: Diagnostic function for bmeta object in jarbes

In jarbes: Just a Rather Bayesian Evidence Synthesis

Diagnostic function for bmeta object in jarbes

Description

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

Usage

## S3 method for class 'bmeta'
diagnostic(
  object,
  post.p.value.cut = 0.05,
  median.w = 1.5,
  study.names = NULL,
  size.forest = 0.4,
  lwd.forest = 0.2,
  shape.forest = 23,
  ...
)

Arguments

object	The object generated by the function bmeta.
post.p.value.cut	Posterior p-value cut point to assess outliers.
median.w	Change color if median of a weight > median.w. The default value is 1.5.
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
...	...

jarbes documentation built on March 18, 2022, 7:39 p.m.