How can we get variance/covariance components in a linear model with
random effects when the response is multivariate?
e.g. variance components estimates are obtained through lme or lmer in
the univariate case but these functions do not seem to extend to the
multivariate case. I'd like to estima
Neither lme nor lmer has provision for fitting multivariate models.
On 7/5/05, Constantinos Antoniou <[EMAIL PROTECTED]> wrote:
> Dear all,
>
> is it possible to estimate a multivariate multilevel model in R (I
> guess the term in R is mixed-effects model). I can estimate
> univariate models usi
Dear all,
is it possible to estimate a multivariate multilevel model in R (I
guess the term in R is mixed-effects model). I can estimate
univariate models using either lme{nlme} or lmer{lme4}, but when I
use a multivariate response, I get the same output as if I was trying
to estimate a u
