[R-sig-ME] Bug?: var estimates on exp scale for gaussian(link=log)
bates at stat.wisc.edu
Mon Jan 7 23:32:26 CET 2008
The development version of the lme4 package has some of the families
(binomial or quasibinomial with logit or probit link, poisson or
quasipoisson with log link) coded in C for efficiency. The general
form will need to allow for evaluation of the family from R functions
and I haven't incorporated that yet.
On Jan 7, 2008 4:23 PM, Gregor Gorjanc <gregor.gorjanc at bfro.uni-lj.si> wrote:
> Gorjanc Gregor <Gregor.Gorjanc at ...> writes:
> > Hi!
> > I would like to fit log-normal fixed model with lmer. Fixed effects estimates
> > are returned on log scale, while variance components are returned on exp scale.
> > Why is this the case?
> I also tried with newest version from R-Forge (svn checkout), but I can not fit
> the log-normal mixed model at all. Using the same code as in previous mail I get
> > tmp <- lmer(y ~ ai + bi + (1 | ci),
> + data=pod,
> + family=gaussian(link="log"))
> Error in mer_finalize(ans, verbose) :
> General form of glmer_linkinv not yet written
> R-sig-mixed-models at r-project.org mailing list
More information about the R-sig-mixed-models