[R] Meta-analysis of a correlation matrix

[Mike Cheung]

Dear luri,

The metaSEM package
(http://courses.nus.edu.sg/course/psycwlm/Internet/metaSEM/) may be
used to fit structural equation models on the pooled
correlation/covariance matrices with weighted least squares as the
estimation method. You may refer to the examples in tssem1() and
tssem2().

Regards,
Mike

-- 
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 Mike W.L. Cheung               Phone: (65) 6516-3702
 Department of Psychology       Fax:   (65) 6773-1843
 National University of Singapore
 http://courses.nus.edu.sg/course/psycwlm/internet/
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On Tue, Apr 12, 2011 at 4:53 AM, Scott Chamberlain
<scttchamberlain4 at gmail.com> wrote:
> I don't know if it can, but have you looked into the metafor package?
> On Monday, April 11, 2011 at 1:46 PM, Iuri Gavronski wrote:
>> Sorry for the cross-posting, but I would like to know if anyone is
>> aware of a package in R for this.
>>
>>
>>
>> ---------- Forwarded message ----------
>> From: John Antonakis
>> Sent: Sunday, April 10, 2011 3:26 PM
>> To: RMNET
>> Subject: Meta-analysis of a correlation matrix (correct thread title)
>>
>> Hi:
>>
>> Does anyone know of good program that can do a meta-analytic multiple
>> regression (with multiple correlated independent variables and one
>> dependent varable) where the data input is in the form of a
>> meta-analyzed correlation matrix (and where the point estimates and SEs
>> produced are consistent)?
>>
>> Regards,
>> John.
>>
>> __________________________________________
>>
>> Prof. John Antonakis
>> Faculty of Business and Economics
>> Department of Organizational Behavior
>> University of Lausanne
>> Internef #618
>> CH-1015 Lausanne-Dorigny
>> Switzerland
>> Tel ++41 (0)21 692-3438
>> Fax ++41 (0)21 692-3305
>> http://www.hec.unil.ch/people/jantonakis
>>
>> Associate Editor
>> The Leadership Quarterly
>>
>> ______________________________________________
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>>
>
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>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>