diag.plot: Diagnostic plot to examine model fit
In bmeta: Bayesian Meta-Analysis and Meta-Regression

Description Usage Arguments Value Author(s) Examples

Function to produce plot based on different diagnostic statistics

1	diag.plot(x,diag="Rhat")

`x`	a `bmeta` object with results of the model
`diag`	diagnostic statistics to be used—either the Gelman-Rubin statistic (Rhat) by default or effective sample size (n.eff)

A plot showing the relevant diagnostic stats for each node in the model

Tao Ding Gianluca Baio

### Read and format the data (binary)
data = read.csv(url("http://www.statistica.it/gianluca/bmeta/Data-bin.csv"))

### List data for binary outcome 
data.list <- list(y0=data$y0,y1=data$y1,n0=data$n0,n1=data$n1) 

### generate output using bmeta 
x <- bmeta(data=data.list,outcome="bin",model="std.norm",type="fix")

### run the diagnostic plot to examine the Gelman-Rubin statistic 
diag.plot(x)

### run the diagnostic plot to examine the effective sample size 
diag.plot(x,diag="n.eff")