On 5/14/07, Martin Henry H. Stevens <[EMAIL PROTECTED]> wrote:
> Hi Cleber,
> By "full" I simply meant "not REML." the function assumes that the
> fixed effects were estimated using REML criteria, and using update()
> simply changes that to ML. If the model was fit originally with ML,
> it shouldn
Hi Cleber,
By "full" I simply meant "not REML." the function assumes that the
fixed effects were estimated using REML criteria, and using update()
simply changes that to ML. If the model was fit originally with ML,
it shouldn't make any difference.
I am reasonably sure that it should not mat
Hi Martin,
many thanks for your tip!
but,{ :-( }
what it 'full MLE' ? how to calculate? it is a saturated model???
and
it is valid for 'no-intercept model?
Many thanks again...
Cleber
> Hi Cleber,
> I have been using this function I wrote for lme
Hi Cleber,
I have been using this function I wrote for lmer output. It should be
easy to convert to lme. As with everything, buyer beware. Note that
it requires (full) maximum likelihood estimates.
Rsq <- function(reml.mod) {
## Based on
## N. J. D. Nagelkerke. A note on a general defini
Hello allR
How to access R^2 from lme object?
or how to calculate it?
( one detail: my model do not have a intercept )
thanks in advanced
Cleber
___
Experimente já e veja as novidades.
