You realize, I trust, that "the mode" of a continuous distribution has no meaning without prior specification of the distribution, which, for a fitted density estimate would mean specification of the fitting parameters (bandwidth, etc.) at a minimum.
So perhaps you need to rethink what you are trying to do and/or perhaps get some advice from a local statistical resource. -- Bert On Fri, Jan 20, 2012 at 8:27 AM, Javier xyz <chikwi...@hotmail.com> wrote: > > Hi all, > > I am trying to estimate the mode of a 4-dimensional nonparametric density > estimator (any) using a sample of size n=10,000. I have tried using the > package 'ks' and 'np' but they are extremely slow; this is related to the > estimation of the bandwidth matrix. I also checked the package 'modeest' but > it contains only methods for univariate distributions. I am only interested > in the mode. Any suggestion? > > Thanks in advance. > > Kind regards. > > [[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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ 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.
