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       <dc:date>2026-05-19T11:41:34+00:00</dc:date>
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        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
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        <title>index</title>
        <link>https://nd.psychstat.org/lab/projects/17bayesian_meta_analysis/index</link>
        <description>Bayesian meta analysis for correlation using power prior

	*  R code for estimation
	*  R code for plots</description>
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        <title>r_code_for_estimation</title>
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        <description>#===================
## R code for the Meta-analysis
#===================
#install.packages(&quot;BMS&quot;) ## to calcuate f21hypergeometric function
library(BMS)
library(coda)#diagnostic of the chain

#log power Likelihood of sample correlation

logPowerLik=function(rho, N, r, a){
	## N sample size, &gt;2
	## r sample correlation
	## rho random variable rho
	## a power
	I&lt;-length(r)
	
	object&lt;-0
	for (i in 1:I){
		object &lt;- object + a[i]*( -.5*log(2*pi) 
		                          + log(N[i]-2) 
								 …</description>
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        <dc:date>2016-01-24T14:48:26+00:00</dc:date>
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        <title>r_code</title>
        <link>https://nd.psychstat.org/lab/projects/17bayesian_meta_analysis/r_code</link>
        <description>R code


## R</description>
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