Dear all, I am taking a course in GLM given by a devoted SAS user. He has given us a homework where a mixed GLM with a logistic link and binomially distributed observations should be fitted. I know of the library nlme for mixed effect models but as I understand it, one cannot choose between different links and distributions in the functions provided there. I have so far managed very well with R (and of course given him my R code ;-) ) but now I am stuck. Could someone please point me at a suitable library. Thanks in advance! Sincerely, Tord Sn?ll ----------------------------------------------------------------------- Tord Sn?ll Avd. f v?xtekologi, Evolutionsbiologiskt centrum, Uppsala universitet Dept. of Plant Ecology, Evolutionary Biology Centre, Uppsala University Villav?gen 14 SE-752 36 Uppsala, Sweden Tel: 018-471 28 82 (int +46 18 471 28 82) (work) Tel: 018-25 71 33 (int +46 18 25 71 33) (home) Fax: 018-55 34 19 (int +46 18 55 34 19) (work) E-mail: Tord.Snall at ebc.uu.se http://www.vaxtbio.uu.se/resfold/snall.htm ------------------------------------------------------------------------ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Tord Snall <tord.snall at ebc.uu.se> writes:> Dear all, > > I am taking a course in GLM given by a devoted SAS user. He has given us a > homework where a mixed GLM with a logistic link and binomially distributed > observations should be fitted. > > I know of the library nlme for mixed effect models but as I understand it, > one cannot choose between different links and distributions in the > functions provided there. > > I have so far managed very well with R (and of course given him my R code > ;-) ) but now I am stuck. Could someone please point me at a suitable library.The mailing list search engine came up with a short discussion almost exactly a year back. I suspect the closest you get is the glmm() function in Jim Lindsey's repeated library (http://www.luc.ac.be/~jlindsey/rcode.html). It's rather restricted in what it does, but it might be that what it does happens to be what you need... -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
What is it you wanted from GLMM() which you couldn't find in Jim's related functions, gnlr og gnlmm for instance ? - Best wishes Troels At 19:22 5/27/01, you wrote:>Tord Snall <tord.snall at ebc.uu.se> writes: > > > Dear all, > > > > I am taking a course in GLM given by a devoted SAS user. He has given us a > > homework where a mixed GLM with a logistic link and binomially distributed > > observations should be fitted. > > > > I know of the library nlme for mixed effect models but as I understand it, > > one cannot choose between different links and distributions in the > > functions provided there. > > > > I have so far managed very well with R (and of course given him my R code > > ;-) ) but now I am stuck. Could someone please point me at a suitable > library. > >The mailing list search engine came up with a short discussion almost >exactly a year back. > >I suspect the closest you get is the glmm() function in Jim Lindsey's >repeated library (http://www.luc.ac.be/~jlindsey/rcode.html). It's >rather restricted in what it does, but it might be that what it does >happens to be what you need... > >-- > O__ ---- Peter Dalgaard Blegdamsvej 3 > c/ /'_ --- Dept. of Biostatistics 2200 Cph. N > (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 >~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 >-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- >r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html >Send "info", "help", or "[un]subscribe" >(in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch >_._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._