diagnostic.hmr: Diagnostic function for hmr object in jarbes

Description

This function performers a specially designed diagnostic for a hmr object

Usage

# S3 method for 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,
  colour.hist.mu.phi = "royalblue",
  colour.prior.mu.phi = "black",
  colour.posterior.mu.phi = "blue",
  title.plot.mu.phi = "Prior-to-Posterior Sensitivity",
  title.plot.weights = "Outlier Detection",
  ...
)

Arguments

object: The object generated by the function hmr.
median.w: Change colour 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: Prior-to-posterior sensitivity analysis 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
colour.hist.mu.phi: colour of the posterior mu.phi histogram
colour.prior.mu.phi: colour of the prior of mu.phi
colour.posterior.mu.phi: colour of the posterior of mu.phi
title.plot.mu.phi: Text for the title in the mu phi plot.
title.plot.weights: Text for the title of the posterior weights.
...: ...