Look at the logspline package. It uses a different method from what density does, but it can take boundaries into account.
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare greg.s...@imail.org 801.408.8111 > -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Katja Hebestreit > Sent: Monday, October 11, 2010 3:04 AM > To: r-help@r-project.org > Subject: [R] Boundary correction for kernel density estimation > > Dear R-users, > > I have the following problem: > > I would like to estimate the density curve for univariate data between > 0 > and 1. Unfortunately, the density function in the stats package is just > capable to cut the curve at a left and a right-most point. This > truncation would lead to an underestimation. An overspill of the > bounded > support is unappropriate as well. > > Do anyone knows a boundary correction method implmented in R? I did > much > research but the correction methods I found are regarding survival or > spatial data. > > Thanks a lot for any hint! > Cheers, > Katja > > ______________________________________________ > 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. ______________________________________________ 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.
