R help - Jul 2009 - Nonlinear mixed binary regression model

Hi all,

Is there any package in R which fits binary regression models with a probit
(or logit) link function related to a nonlinear predictor with both fixed
and random effects? Something like that:

Y ~ Bernoulli(p)


probit(p) = h(X*Beta + Z*b), where ``h'' is a nonlinear function, X and
Z
are known design matrices, Beta are fixed effects and b are random effects.


Thanks all in advance,


Best regards,

Caio

	[[alternative HTML version deleted]]

Caio, check the lme4 library. The lmer function allows for fixed and random
effects.

Daniel


-------------------------
cuncta stricte discussurus
-------------------------

-----Urspr?ngliche Nachricht-----
Von: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] Im
Auftrag von Caio Azevedo
Gesendet: Tuesday, July 28, 2009 6:43 PM
An: r-help at r-project.org
Betreff: [R] Nonlinear mixed binary regression model

Hi all,

Is there any package in R which fits binary regression models with a probit
(or logit) link function related to a nonlinear predictor with both fixed
and random effects? Something like that:

Y ~ Bernoulli(p)


probit(p) = h(X*Beta + Z*b), where ``h'' is a nonlinear function, X and
Z
are known design matrices, Beta are fixed effects and b are random effects.


Thanks all in advance,


Best regards,

Caio

	[[alternative HTML version deleted]]

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