traceplot.bmeta: Traceplot to assess convergence

In giabaio/bmeta: Bayesian Meta-Analysis and Meta-Regression

Traceplot to assess convergence

Description

Function to display a plot of iteration vs. sample values for each variable in the chain

Usage

traceplot.bmeta(x, node, title = "", lab = "")

Arguments

x	a bmeta object with results of the model
node	variable to be displayed on the traceplot
title	title of the plot if specified
lab	name of the variable to be displayed on the traceplot

Author(s)

Tao Ding Gianluca Baio

Examples

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

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

### Select random-effects meta-analysis with t-distribution prior for binary
### data
x <- bmeta(data.list, outcome="bin", model="std.dt", type="ran")


### using output from bmeta to produce traceplot for a specific node
traceplot.bmeta(x,"mu")

### using output from bmeta to produce traceplot and specify the node used
traceplot.bmeta(x,"mu",lab="mu")

giabaio/bmeta documentation built on May 4, 2023, 3:31 p.m.