diagnostic.hmr: Diagnostic function for hmr object in jarbes

In jarbes: Just a Rather Bayesian Evidence Synthesis

Diagnostic function for hmr object in jarbes

Description

This function performers a specially designed diagnostic for a hmr object

Usage

## S3 method for class 'hmr'
diagnostic(
  object,
  median.w = 1.5,
  study.names,
  size.forest = 0.4,
  lwd.forest = 0.2,
  shape.forest = 23,
  mu.phi = TRUE,
  mu.phi.x.lim.low = -10,
  mu.phi.x.lim.up = 10,
  ...
)

Arguments

object	The object generated by the function hmr.
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
mu.phi	Also plot the distribution of mu.phi. Default value is TRUE.
mu.phi.x.lim.low	Lower limit of the prior to posterior plot for mu.phi
mu.phi.x.lim.up	Upper limit of the prior to posterior plot for mu.phi
...	...

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