Not sure what model you have in mind. If a model of the form E(y) = f(x1, x2) = f1(x1) + f2(x2) (i.e., additive) is sufficient, you can use the packages `mgcv' or `gbm', both of which provide options to constrain f1 or f2 to be monotone.
HTH, Andy > From: Nathan Leon Pace, MD, MStat > > Hi, > > Has anyone written code for isotonic regression on ordered > rectangular > grids? > > Nathan > > Nathan Leon Pace, MD, MStat > University of Utah > Salt Lake City, UT 84132 > Office: 801.581.6393 > Fax: 801.581.4367 > Cell: 801.558.3987 > Pager: 801.291.9019 > Home: 801.467.2925 > > [[alternative text/enriched version deleted]] > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
