Smoothing methods for nonparametric regression and density estimation

This is software linked to the book 'Applied Smoothing Techniques for Data Analysis - The Kernel Approach with S-Plus Illustrations' Oxford University Press.


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Reference manual

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install.packages("sm")

2.2-5.4 by Adrian Bowman, 4 years ago


http://www.stats.gla.ac.uk/~adrian/sm


Browse source code at https://github.com/cran/sm


Authors: Adrian Bowman and Adelchi Azzalini. Ported to R by B. D. Ripley <ripley@stats.ox.ac.uk> up to version 2.0, version 2.1 by Adrian Bowman and Adelchi Azzalini, version 2.2 by Adrian Bowman.


Documentation:   PDF Manual  


Task views: Statistics for the Social Sciences


GPL (>= 2) license


Suggests rpanel, tkrplot, rgl, misc3d, akima, gam


Imported by DAMisc, DepthProc, MuViCP, SDD, caRpools, funcy, mem, otinference, rase, regplot, spef.

Depended on by EDR, fpca, irtoys, magicaxis, plmm, vioplot.

Suggested by Sim.DiffProc, caroline, npsm, rpanel, sirt, spatstat, tsDyn.

Enhanced by sfsmisc.


See at CRAN