Hi Aaron! I hope that my answer is not too late.
On Friday 30 May 2008 00:31, aaront wrote: > I need to estimate maximum tree crown radius and am looking for a package > to prepare stochastic frontier models in R. I have not found any package > references on Nabble R help, google, or R help. Any tips on a package for > this? The "micEcon" package [1,2,3] provides the functions "front41WriteInput" and "front41ReadOutput", which write input files and read output files for Tim Coelli's FRONTIER 4.1 software, respectively. This software does stochastic frontier analysis. A slightly modified version of it, which can be run non-interactively [5], can be used to estimate frontier functions in R with the micEcon package pretty conveniently. Furthermore, I have created an R package "frontier" [5] that includes and uses the Fortran code of FRONTIER 4.1 as dynamic library. However, this package has not been thoroughly tested yet and I haven't received a permission of the author of FRONTIER 4.1 to release the package under an open source license and/or to upload it to CRAN (provisionally, he permitted me to make this software available on my website [5]). I am happy to receive bug (and success!) reports for this new package. (If somebody creates binary packages for MS-Windows and MacOS X, I would be happy to receive them to make them available also on my web site [5] :-) ). [1] http://www.micecon.org/ [2] http://cran.r-project.org/web/packages/micEcon/index.html [3] http://r-forge.r-project.org/projects/micecon/ [4] http://www.uq.edu.au/economics/cepa/frontier.htm [5] http://www.uni-kiel.de/agrarpol/ahenningsen/frontier/index.html Best wishes, Arne > With regards, > > Aaron Trowbridge > > Researcher > BV Research Centre > Smithers B.C. -- Arne Henningsen http://www.arne-henningsen.name ______________________________________________ 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.