Many thanks! Adam 2011/9/14 Achim Zeileis <achim.zeil...@uibk.ac.at>
> On Wed, 14 Sep 2011, Adam Copella wrote: > > Dear All, >> >> Is there any function in R for fitting linear probability model, as my >> response variable is a uniformly distributed. >> > > If it is really uniformly distributed, I think there is not much to > model... And in the textbooks I know that discuss the linear probability > model (mostly econometrics books), this typically refers to running OLS on a > 0/1 response variable. This can be done with lm() but is typically > inappropriate and using a binomial glm() is a better solution (as previously > pointed out). > > However, from your description it seems that your response takes values in > the open unit interval and that you want to model its distributional > properties. Then beta regression may be an option. See package "betareg" and > the accompanying paper > http://www.jstatsoft.org/v34/**i02/<http://www.jstatsoft.org/v34/i02/> > . > > hth, > > Z > > Regards, >> Adam >> >> [[alternative HTML version deleted]] >> >> ______________________________**________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >> PLEASE do read the posting guide http://www.R-project.org/** >> posting-guide.html <http://www.R-project.org/posting-guide.html> >> and provide commented, minimal, self-contained, reproducible code. >> >> [[alternative HTML version deleted]] ______________________________________________ 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.
