(Ted Harding) wrote:
On 20-Dec-04 Douglas Bates wrote:
This is a new version of SASmixed that was uploaded a couple of days
ago. I changed it so that the fits are done with the lme4 version of
lme. It should be faster and more reliable than the version of lme in
the nlme package.
This version of SASmixed has a vignette that provides comparative
analyses in lme for the examples in "SAS System for Mixed Models". The
specification of models in the new lme is occasionally different from
the older specification. Don't pay too much attention to the textual
descriptions - look at the examples in the appendices. I haven't
finished rewriting the textual description from an old, old version.
Those who (like me) cringe at the way that models with crossed random
effects needed to be specified in the old lme may find it interesting
that the Demand example now specifies the model fit as
Demand> fm1Demand <- lme(log(d) ~ log(y) + log(rd) + log(rt) +
log(rs), data = Demand, random = list(State = ~1, Year = ~1))
[...]
The lme4 and nlme packages should not be loaded simultaneously.
Use one or the other but not both.
Doug,
Thanks a lot for these clarifications. This still leaves me with
a question or two.
Suppose I want (as I do) to work through Pinheiro & Bates, example
by example. Some datasets are here (lme4), others there (SASmixed,
nlme), etc.
Does this mean I need to start afresh, loading just the package
with the dataset currently of interest?
I think it is enough to do
library(nlme)
<much work>
detach(pos=2)
library(lme4)
.
.
.
Is that right?
Kjetil
I'm a touch confused about the distribution (a) of datasets,
(b) of the R functions needed to analyse them according to
Pinheiro & Bates, over the packages! If I load the package
containing dataset A, will it include the functions used in
P&B for that dataset? Or might I need to load another one
as well? and, if so, might I encounter the sort of clash
you hint at above?
(I know I could probably check it in detail in each case as
it arises, but I guess you know your way arond all this better
than someone who hasn't been there yet).
With thanks (and congratulations on what looks like a very
well conceived book on the topic),
Ted.
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Date: 20-Dec-04 Time: 21:29:07
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