acf.plot: Autocorrelation function plot
In bmeta: Bayesian Meta-Analysis and Meta-Regression

Description Usage Arguments Value Author(s) Examples

Function to create autocorrelation function plot to assess convergence

1	acf.plot(x,node,title="Autocorrelation function")

`x`	a `bmeta` object with results of the model
`node`	variable to be displayed on the plot
`title`	title of the plot, if specified

A plot showing the autocorrelation for the selected node

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 from bmeta 
x <- bmeta(data=data.list,outcome="bin",model="std.dt",type="ran")

### generate autocorrelation function plot 
acf.plot(x,"alpha[1]")

### generate autocorrelation function plot and specify the title 
acf.plot(x,"alpha[1]",title="Autocorrelation plot")