Jim Lindsey's repeated package has the function gnlmm which will fit beta regressions with a random intercept and one level of nesting. I don't know of any other options.
Cheers, Simon. Not sure On Mon, 2008-07-14 at 19:16 -0700, Daniel Malter wrote: > I have a connector-question to that. Is beta-regression available for > repeated measures or panel data and if so is it available in R? > > thx, > Daniel > > > Kevin J Emerson wrote: > > > > R-devotees, > > > > I have a question about modeling in the case where the response variable > > is > > binary. > > > > I have a case where I have a response variable that is the probability of > > success, and four descriptor variables, The response has a sigmoid > > response > > with one of the variables. I would like to test for the effect of the > > various descriptor variables on the percentage success of the binary > > trait. > > I have looked at glm with family = "binomial" but am not sure I totally > > understand its use (and therefore am not sure it is the appropriate test) > > and am looking for two things: (1) is glm with family = 'binomial' the > > right > > way to do this, and (2) are there any good references on how it works. > > I have posted a plot of a sample of the data I am looking at as well as > > the > > sample data used to generate the plots. > > > > Sample Plot: http://www.uoregon.edu/~kemerson/tmp/plot.pdf > > Sample Data: http://www.uoregon.edu/~kemerson/tmp/data.csv > > > > Response variable is percent.dev (se2.dev are the errors from binomial > > estimates given probability and number of samples). > > > > Descriptor variables are num.days, ppd, temp, and pop. > > > > Any help would be greatly appreciated. > > > > Cheers, > > Kevin Emerson > > > > > > ==================================== > > Kevin J. Emerson > > Bradshaw - Holzapfel Lab > > 1210 University of Oregon > > Eugene, OR, 97403 > > email: [EMAIL PROTECTED] > > web: http://evodevo.uoregon.edu/people/emerson.html > > > > ______________________________________________ > > R-help@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide > > http://www.R-project.org/posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > > > > -- Simon Blomberg, BSc (Hons), PhD, MAppStat. Lecturer and Consultant Statistician Faculty of Biological and Chemical Sciences The University of Queensland St. Lucia Queensland 4072 Australia Room 320 Goddard Building (8) T: +61 7 3365 2506 http://www.uq.edu.au/~uqsblomb email: S.Blomberg1_at_uq.edu.au Policies: 1. I will NOT analyse your data for you. 2. Your deadline is your problem. The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. - John Tukey. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
