Running R 3.1.0, and I'm having a lot of trouble with lme since the latest 1.0 update. I have a data set I was working with under an older version, getting fine parameter estimates, no issues with collinearity and no failures of convergence. The same analysis was then failing to converge after updating to 1.0, using both bobyqa and Nelder-Mead and playing around with increasing max iterations. I poked around and it seems that others have encountered the same problem and solved it by installing lme4.0 and running that instead. I did that, but am now getting the error typically associated with collinearity:
Error in mer_finalize(ans) : Downdated X'X is not positive definite, 1.
As far as I can tell, I have no issues with collinearity in my dataset (certainly not perfect collinearity) and none of the data set or my code has changed since the older version that used to run fine. It seems that a similar problem has been reported here but I don't really understand the solution, or whether it is actually the same issue.
I used this bit of code, from Florian Jaeger's blog, to install lme4.0:
install.packages("lme4.0", type="both",
repos=c("http://lme4.r-forge.r-project.org/repos",
getOption("repos")[["CRAN"]]))
But don't know how to install the version suggested in that link, lme4 0.999902344-0, or if that might be problematic for other reasons. Any help would be greatly appreciated.