Yes. Try something akin to
fm1- lme(y~time, data, random=~time|ID)
fm2-update(fm1, correlation=corAR1(form~time|ID)
You can then use anova(fm1,fm2) to compare.
Harold
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Chris Solomon
Sent: Tuesday,
On Tue, 14 Sep 2004, Chris Solomon wrote:
Hello-
I'm trying to do some repeated measures ANOVAs. In the past, using SAS,
I have used the framework outlined in Littell et al.'s SAS System for
Mixed Models, using the REPEATED statement in PROC MIXED to model
variation across time within an
Hello Chris,
as far as I know from the Pinheiro and Bates book Mixed-Effects Models in S
and S-PLUS, the autoregressive parameter has to be specified only as
initial value for the estimation. That is, the parameter will be estimated,
but the result may depend on the prespecified value. You do not
