Bug?: var estimates on exp scale for gaussian(link=log)
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 Gregor
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