diagnostic.hmr {jarbes}

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,
  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.

...

...