dplot.uvmeta: Plot the prior and posterior distribution of a meta-analysis...

In metamisc: Meta-Analysis of Diagnosis and Prognosis Research Studies

Plot the prior and posterior distribution of a meta-analysis model

Description

Function to generate plots for the prior and posterior distribution of a Bayesian meta-analysis.

Usage

## S3 method for class 'uvmeta'
dplot(x, par, distr_type, plot_type = "dens", ...)

Arguments

x	An object of class "uvmeta"
par	Character string to specify for which parameter a plot should be generated. Options are "mu" (mean of the random effects model) and "tau" (standard deviation of the random effects model).
distr_type	Character string to specify whether the prior distribution ("prior") or posterior distribution ("posterior") should be displayed.
plot_type	Character string to specify whether a density plot ("dens") or histogram ("hist") should be displayed.
...	Additional arguments which are currently not used

Value

An object of class ggplot

Author(s)

Thomas Debray <[e-mail]>

Examples

## Not run: 
data(Roberts)

fit <- with(Roberts, uvmeta(r=SDM, r.se=SE, method="BAYES"))

dplot(fit)
dplot(fit, distr_type = "posterior")
dplot(fit, par = "tau", distr_type = "prior")
dplot(fit, plot_type = "hist")

## End(Not run) 

metamisc documentation built on Sept. 25, 2022, 5:05 p.m.