diagnostic.hmr {jarbes} | R Documentation |
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. |
... |
... |