"Andrej Kveder" <[EMAIL PROTECTED]> writes:
> I would appreciate your reflection on the following. I need a quantitative
> figure to evaluate weather the covariate varies across second level units in
> the process of simulation. Of course I will be running thousands of them and
> would need to pro
> I would appreciate your reflection on the following. I need a quantitative
> figure to evaluate weather the covariate varies across second level units in
> the process of simulation. Of course I will be running thousands of them and
> would need to program the condition in code. In one of the pre
ttp://www.edperform.net>
-Original Message-
From: Andrej Kveder [mailto:[EMAIL PROTECTED]
Sent: Wednesday, July 02, 2003 5:41 AM
To: Douglas Bates; J.R. Lockwood
Cc: Harold Doran; R-Help
Subject: RE: [R] within group variance of the coeficients in LME
Firstly let me thank all for your answers and su
edperform.net>
-Original Message-
From: Andrej Kveder [mailto:[EMAIL PROTECTED]
Sent: Wednesday, July 02, 2003 5:41 AM
To: Douglas Bates; J.R. Lockwood
Cc: Harold Doran; R-Help
Subject: RE: [R] within group variance of the coeficients in LME
Firstly let me thank all for your answers
s Bates [mailto:[EMAIL PROTECTED] Behalf Of Douglas
Bates
Sent: Monday, June 30, 2003 6:09 PM
To: J.R. Lockwood
Cc: Harold Doran; R-Help; Andrej Kveder
Subject: Re: [R] within group variance of the coeficients in LME
"J.R. Lockwood" <[EMAIL PROTECTED]> writes:
> >
> >
"J.R. Lockwood" <[EMAIL PROTECTED]> writes:
> >
> > Dear listers,
> >
> > I can't find the variance or se of the coefficients in a multilevel model
> > using lme.
> >
>
> The component of an lme() object called "apVar" provides the estimated
> asymptotic covariance matrix of a p
>
> Dear listers,
>
> I can't find the variance or se of the coefficients in a multilevel model
> using lme.
>
The component of an lme() object called "apVar" provides the estimated
asymptotic covariance matrix of a particular transformation of the
variance components. Dr.
lme does not produce standard errors for the variance components like HLM does. It
does produce SEs for the fixed effects, however, along with t-statistics and p-values,
just like HLM. Use the summary() command to see these.
When you do this, you will get the AIC, BIC, and loglik values. Just
