[R-sig-ME] Is there a way to deal with errors such as this?
r@turner @end|ng |rom @uck|@nd@@c@nz
Mon Dec 16 00:08:06 CET 2019
On 16/12/19 10:08 am, D. Rizopoulos wrote:
> Moreover, if the main aim of the simulation is to assess some properties
> of the model and not of the optimization algorithm, you could help the
> optimization procedure by supplying as starting values for the model
> parameters the true parameters values from which you simulate the data.
That is a very appealing idea, but I'm afraid that I find the help for
glmer() to be utterly opaque in terms of the "start" argument. May I
impose upon you for some help to get me, uh, started? ( :-) )
Explicitly, suppose that I have a data frame "protoX", and I fit a model:
protoFit <- glmer(cbind(Dead,Alive) ~ (0+Trt)/Dose + (Dose | Rep),
Suppose that I then simulate data from protoFit:
X <- protoX
X[,c("Dead","Alive") <- simulate(protoFit)[,1]
The "true" values of the parameters in respect of fitting a model to X,
will be the fitted parameters contained in protoFit. How do I specify
these as starting values in a call to glmer()?
I would do something like:
fit <- glmer(cbind(Dead,Alive) ~ (0+Trt)/Dose + (Dose | Rep),
What do I use for "???" ? The help seems to indicate that it should be
a list with components "fixef" and "theta". I would conjecture that I'd
get the "fixef" component as fixef(protoFit). However it is totally
mysterious to me how I would get "theta" (or even what "theta" *is*).
Can you (or someone) point me in the right direction? (An *example* of
the use of "start" in the help file would have been nice. :-( )
Honorary Research Fellow
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276
More information about the R-sig-mixed-models