Not having installed 0.62.2, I upgraded from .1 to .3, so some of
these problems may already have been in .2
1. Apparently, configure thought my f77 shell script frontend for f2c
was a real Fortran compiler which it used as linker. R linked but
dynamic loading did not work. I manually changed DLLFLAGS to
-rdynamic, LDCMD to gcc, and added -lf2c to LIBS in Makeconf and it
worked properly. This problem was not present in 0.62.1
2. Binary factor variables no longer have the category label stuck on
the end of the variable name in output from glm(). This is very
misleading for at least two reasons: (i) there is no way to tell if a
variable is factor or not just by looking at the output, (ii) in
various contexts, the level printed out may be the first or the
second, and it is essential to know which.
3. I am getting a lot of messages
Error: heap memory (5120Kb) exhausted
in the middle of running nlm() although a gc() immediately after says
92% free (R -v5).
4. Is there no way to convince core that the default option for signif
stars should be FALSE??? At a minimum, modern software should be
printing out profile likelihood intervals (even SAS does for logistic
regression now) and not standard errors for non-normal models. The
intervals, let alone tests, based on s.e.s can be meaningless for
glms. Are there no likelihoodlums (except me) or Bayesians out there?
5. Although my libraries are no longer crashing R (since 0.61),
changes to functions are now breaking my libraries. The latest that I
have discovered are changes in the arguments to data.frame() (and the
way it behaves) and to vector(). I cannot recheck all of the 100 or
more functions in my libraries with every new release so that these
may have been around awhile and other problems are certainly present.
All that to say that it looks like it is still not a good idea to
release my 4 libraries. A shame because the request for mixed models a
couple of days ago could of been helped with my glmm() and gnlmm()
functions (broken by the above).
  Jim
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