[Rd] [R] (PR#2720)

[jerome at hivnet.ubc.ca]

I apologize for cross-posting.

In the reproducable example below, I fit the same model with lme() and 
nlme(). However, I get 12 degrees of freedom with lme() and 2 df with 
nlme().

library(nlme)
set.seed(14)

a <- 2
x <- rep(rnorm(3),rep(5,3))
id <- rep(c("a","b","c"),rep(5,3))
y <- a+x+rnorm(15)
data <- data.frame(y=y,id=id)
initx <- matrix(x[c(1,6,11)],dimnames=list(c("a","b","c"),"x"))

summary(fit.lme <-
              lme(y ~ 1,data=data,random=~1|id,method="ML"))
summary(fit.nlme <-
              nlme(y ~ a + x, fixed= a~1, random=x~1|id,
              data=data, start=list(fixed=c(a=2),
              random=list(id=initx)),method="ML"))

When I try the same thing with set.seed(18), I get 12 df for both.

I have submitted a bug report on that issue on Dec 20th and I have tried 
to find the source of the problem, but no success. You can check what I 
found so far at:
http://r-bugs.biostat.ku.dk/cgi-bin/R/Add-ons?id=2384

Can anyone help find the source of this problem?

Sincerely,
Jerome Asselin

R 1.6.2 on Red Hat Linux 7.2
Package: nlme 3.1-38

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