diagnostic.bmeta {jarbes}

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

...

...