-----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 Stephan Moratti
Sent: Tuesday, April 29, 2008 7:05 AM
To: r-sig-mixed-models at r-project.org
Subject: [R-sig-ME] nlme optim control option
Hello,
I am using the nlme package for quite a while, but recently I
have discovered the "optim" option in the lmeControl function
and I have read that until the R verison 2.2.0 the
optimization function is "nlminb" and before it was "optim"
by default. As I am a "user" of R I am not into the
optimization functions. However, I have a case now where with
optim = "nlminb" the model does not converge, whereas with
optim = "optim" the model converges.
Can somebody explain to me in easy words what the difference
is ? If nlminb does not converge, but optim does, is the
result less trustable ?
Thanks,
Stephan
--
*Stephan Moratti, PhD/
/**/see also: http://web.mac.com/smoratti/ /*Centro de
Tecnolog?a Biom?dica CBT, Universidad Polit?cnica de Madrid,
en la actualidad (currently at) en el
Centro de Magnetoencefalograf?a Dr. Perez Modrego,
Universidad Complutense de Madrid, Faculdad de Medicina,
Pabell?n 8, Avda. Complutense, s/n, 28040 Madrid, Spain,
email: moratti at gbt.tfo.upm.es <mailto:moratti at gbt.tfo.upm.es>
moratti at med.ucm.es
Tel.: +34 91 394 2292
Fax.: +34 91 394 2294
*/
/*