[R] GLMM(..., family=binomial(link="cloglog"))?

[Spencer Graves]

Hi, Deepayan: 

      Thanks for your reply.  How can I get the new release in a Windows 
2000 format, downloaded and properly installed? 

      I tried "update.packages", but the new version has not yet 
migrated within reach of the default "update.packages" function call.  I 
tried downloading "lme4 0.6-0-2.tar.gz" from 
"http://www.stat.wisc.edu/%7Ebates/", unzipping it and replacing the old 
"\\R\rw1090pat\library\lme4" with the new.  Unfortunately, when I then 
tried to start R, I got a fatal error message: 

      Error in loadNamespace(i[[1]], c(lib.loc, libPaths()), 
keep.source):  There is no package called 'Matrix'. 

      Fortunately, I was able to restore R to apparently functioning 
order by merely restoring the old version. 

      Is there something easy I can do to get "lme4 0.6-0-2.tar.gz" to 
install properly for me?  Or do I need to wait until it migrates to my 
update.packages default ("http://cran.r-project.org") or some other 
designated CRAN mirror? 

      Thanks for your excellent work in bringing this excellent software 
to its present state. 

      Best Wishes,
      spencer graves

Deepayan Sarkar wrote:

>On Tuesday 01 June 2004 17:25, Spencer Graves wrote:
>  
>
>>      I'm having trouble using binomial(link="cloglog") with GLMM in
>>lme4, Version: 0.5-2, Date: 2004/03/11.  The example in the Help file
>>works fine, even simplified as follows:
>>
>>      fm0 <- GLMM(immun~1, data=guImmun, family=binomial,
>>random=~1|comm)
>>
>>      However, for another application, I need
>>binomial(link="cloglog"),
>>
>>and this generates an error for me:
>> > fm0. <- GLMM(immun~1, data=guImmun,
>> > family=binomial(link="cloglog"),
>>
>>random=~1|comm)
>>Error in getClass(thisClass) : "family" is not a defined class
>>Error in GLMM(immun ~ 1, data = guImmun, family = binomial(link =
>>"cloglog"),  :
>>        S language method selection got an error when called from
>>internal dispatch for function "GLMM"
>>
>>      Any suggestions?
>>    
>>
>
>This should work better in the new lme4 (0.6-x) announced earlier today 
>on r-packages. There is still a bug with cases (like in your example) 
>with only one fixed effect where the show and summary methods produce 
>an error, but that should be fixed soon.
>
>Deepayan
>  
>