Douglas Bates
2006-Jan-10 20:36 UTC
[R] [R-pkgs] Representation of lmer objects will change soon
This is a "heads up" to those using the lmer function for fitting linear mixed models or generalized linear mixed models. In the next few days Martin and I will upload a new version of the Matrix package that employs a new representation of linear mixed models based on the supernodal Cholesky factorization provided by Tim Davis's CHOLMOD library of sparse matrix code. This representation will be incompatible with the current representation, which uses a class of blocked compressed sparse matrices called the dBCMatrix class. If you have an lmer object created with the current code you will need to convert it to use it with the new package. By far the easiest way to do this is to recreate it. (The new code is very fast.) However, we will also offer a conversion function for those who no longer have the information used to produce the model fit. So the takehome message is that if you are currently using lmer then you should save the information used to fit a model in addition to saving the fitted model. _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages