[R-sig-ME] Extract/Calculate score vector from "mer" objects

[Krishnaraj Ajay Gharpure]

Brute force method: if you wish to compute derivatives, you can declare your log-likelihood as an R function and use the grad function (found in the numDeriv package) to evaluate that at convergence.

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Sagely, he observed: one man's playstation is another man bakery.


-----Original Message-----
From: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] On Behalf Of Dimitris Rizopoulos
Sent: Wednesday, December 07, 2011 1:26 AM
To: r-sig-mixed-models at r-project.org
Subject: [R-sig-ME] Extract/Calculate score vector from "mer" objects

Dear All,

I'm interested in calculating the score vector (first order derivative of the log-likelihood) evaluated at the final parameter values (i.e., at convergence), for a mixed effects logistic regression model, returned by glmer(). Has anybody ever done something like this?

Thanks in advance for any hints.

Best,
Dimitris


--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center

Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014
Web: http://www.erasmusmc.nl/biostatistiek/

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