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.