Hi Patrick, Well tobit regression is applicable when there is censoring in the data.
Tobit regression in R has been implemented in the R package survival An easy user interface is there in the packages AER and Zelig. On Fri, Aug 6, 2010 at 6:12 AM, Patrick Sessford <psessf...@hotmail.com>wrote: > > > Dear R-users, > > I would like to model data where the response variable consists of many > minus ones and many different positive values that seem to follow an > apparently separate distribution (ie. -1, -1, 0.5, -1, 3, 3.5, 1.2, -1, -1, > 0.4, etc); no values of the response can be less than minus one or between > minus and zero (exclusive). > > I am aware of tobit regression but unaware of exactly how to implement it > in R. If anyone is able to help me on this issue I'd be extremely grateful; > for example, if my (continuous) explanatory variables were x1 and x2, how > should I define the model? > > Thank you for your time. > > Pat > > > [[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. > [[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.
