Hi all, I was looking for a non parametric survival analysis and I came up with the following sample from the web. However, I could not run it. Which library or function does "sm.regression" require? x <- runif(100,-2, 2) y <- x^2 + rnorm(50) sm.regression(x, y, h=0.5) Error: could not find function "sm.regression" Thanks Val [[alternative HTML version deleted]]
Val wrote:> Hi all, > I was looking for a non parametric survival analysis and I came up with the > following sample from the web. > > However, I could not run it. Which library or function does > "sm.regression" require?Time to install package 'sos'. It would quickly tell you that you'll find sm.regression in pkg:sm (Bowman and Azzalini's smoothing methods). -Peter Ehlers> > x <- runif(100,-2, 2) > y <- x^2 + rnorm(50) > sm.regression(x, y, h=0.5) > > Error: could not find function "sm.regression" > > Thanks > > Val > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list > stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > >