search for: ftnonpar

Hi all, I'm looking for smooth monotone estimation packages, preferably using splines. I downloaded the 'cobs' package and intend to use it, but since it offers only quadratic splines based on L1 minimization, I'd like to compare its performance to that of a more 'mainstream' cubic-spline, L2-norm minimizing spline. Preferably a smoothing spline. Does anyone know of such

I'm sure there must be various peak-finding algorithms out there. Not knowing of any, I have written one myself*, but I thought I'd ask to see what's out there. Basically, I have a 2-dimensional data set and I want to identify local peaks in the data, while ignoring "trivial" peaks. My naive algorithm first identifies every peak and valley (point of inflection change

Hi all, I think this question could be quite trivial, but I can?t find out the solution... How can you compute the statistic "mode" of a sample, in case it exists (as mode() returns the mode of an object)? I tried help.search("mode") but I couldn't find a clue... Any help would be much appreciated. Regards, Aurora

...t;flexclust","flexmix","fMultivar","fOptions","foreign"," FortranCallsR","fortunes","forward") TEMP <- c(TEMP,"fpc","fPortfolio","fracdiff","frailtypack","fSeries","ftnonpar","FunCluster","fuzzyRankTests","g.data","gafit","gam","gamair","gamlss","gamlss.tr","GammaTest","gap","gbm","gclus","gcmrec","gdata","gee",&quot...

CRAN (and crantastic) updates this week New packages ------------ * allan (1.0) Alan Lee http://crantastic.org/packages/allan Automates Large Linear Analysis Model Fitting * andrews (1.0) Jaroslav Myslivec http://crantastic.org/packages/andrews Andrews curves for visualization of multidimensional data * anesrake (0.3) Josh Pasek http://crantastic.org/packages/anesrake This