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.


Reference manual

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2.2-5.6 by Adrian Bowman, 3 years ago

Browse source code at

Authors: Adrian Bowman and Adelchi Azzalini. Ported to R by B. D. Ripley <[email protected]> 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 rgl, misc3d, akima, gam, tkrplot, rpanel, tcltk

Imported by AsyK, DepthProc, GWSDAT, MuViCP, SDD, bite, brinton, caRpools, magicaxis, mem, otinference, regplot, spef.

Depended on by fpca, irtoys, plmm, vioplot.

Suggested by Sim.DiffProc, caroline, rpanel, sirt, spatstat.core, tsDyn, wrGraph, wrProteo.

Enhanced by sfsmisc.

See at CRAN