1. It may not be the thing to do, but if you really want to, try: install.packages(CRAN.packages()[,1], lib.loc=...)
2. No. Some packages have vignettes, but most not. Any additional info should have been cited in the `Reference' section of the help page. Cheers, Andy > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] > > "Liaw, Andy" wrote: > > > > I looked at rqss() in nprq, as Prof. Koenker suggested, but > that doesn't > > have a predict() method, so I don't know how you'd get the > smooth at values > > other than the observed... > > > > The criteria (CV, GCV, etc.) could have multiple local > minima for some data, > > as Prof. Ripley and Prof. Koenker pointed out, so relying on those > > `automatic' selection procedure may not be the best thing to do. > > Theoretically as spar (lambda) goes to 0, smooth.spline > should linearly > > interpolate the data. I guess the routine could run into > numerical problems > > before that. > > > > Here's yet another thing to try (thanks to Martin for the > `lokern' package): > > > > library(lokerns) > > par(mfrow=c(2,4)) > > for (i in 1:4) { > > plot(dat[[i]]$p, dat[[i]]$t); > > lines(lokerns(dat[[i]]$p, dat[[i]]$t, x.out=seq(25,1000,25))) > > plot(dat[[i]]$p, dat[[i]]$s) > > lines(lokerns(dat[[i]]$p, dat[[i]]$s, x.out=seq(25,1000,25))) > > } > > > > Best, > > Andy > > Thanks for still another suggestion. I'm keeping our system manager > busy loading packages. Is there a way he can get them all at once? > > Also, do you know whether any of these packages come with a manual --- > other than the help pages? > > Regards, > > Carlisle > > ------------------------------------------------------------------------------ Notice: This e-mail message, together with any attachments,...{{dropped}} ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
