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'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. -------------------------------------------------------------------- E-Mail: (Ted Harding) <[EMAIL PROTECTED]> Fax-to-email: +44 (0)870 094 0861 [NB: New number!] Date: 20-Dec-04 Time: 21:29:07 ------------------------------ XFMail ------------------------------ ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
