Dear All,
I would like to ask which might be the best manner to introduce a first order
autocorrelation function in a GLMM model in order to account for temporal
autocorrelation effects in a temporal series dataset, using package Lme4
(function lmer, Laplace approach) or glmmPQL functions (penal
Sorry,
I have just solved the problem. There was a typographic error in the code.
Sorry for this mistake,
Jofre
--- El jue, 9/10/08, jofre carnicer cols <[EMAIL PROTECTED]> escribió:
> De: jofre carnicer cols <[EMAIL PROTECTED]>
> Asunto: GLS spatial model-- range error
Hello,
I am computing a gls spatial model:
require(nlme)
gls.exp<-gls(S1 ~ X2TPall + tmngem + tmaxjlm + arbdenkm + prat_herm +
arbclakm + conreukm, data=snouter.df, correlation=corExp(form~X+Y),
na.action=na.omit)
and obtain the following error:
Error en Initialize.corSpatial(X[[1L]], ..