[R] 2 lme questions
HaroldD at ccsso.org
Tue Apr 6 00:09:21 CEST 2004
There are two way to accomplish this in nlme. First try using the summary() command, which will produce all variance components and estimates for the fixed effects. Also, try the following to extract the point estimates and approximate CIs for the variance comonents.
> intervals(model.lme, which="var")
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch]On Behalf Of Steve Roberts
Sent: Monday, April 05, 2004 3:32 PM
To: r-help at stat.math.ethz.ch
Cc: Steve Roberts
Subject: [R] 2 lme questions
1) Is there a nice way of extracting the variance estimates from an lme fit? They don't seem to be part of the lme object.
2) In a series of simulations, I am finding that with ML fitting one of my random effect variances is sometimes being estimated as essentially zero with massive CI instead of the finite value it should have, whilst using REML I get the expected value. I guess it is a numerical/optimisation problem but don't know enough about the lme fitting algorithm to know which tollerance/scale parameter to mess about with. Any suggestions where to start?
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