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

install.packages("sm")

2.2-6.0 by Adrian Bowman, 3 years ago

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

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

GPL (>= 2) license

Suggests rgl, misc3d, interp, gam, tkrplot, rpanel, tcltk

Imported by BATSS, DepthProc, GWSDAT, MuViCP, baggingbwsel, brinton, gkrreg, landpred, magicaxis, mem, otinference, psre, wxgenR.

Depended on by irtoys, vioplot.

Suggested by Sim.DiffProc, kedd, maidr, npsm, rpanel, sirt, spatstat.explore, spatstat.model, wrGraph, wrProteo.

Enhanced by sfsmisc.

See at CRAN

sm

Smoothing Methods for Nonparametric Regression and Density Estimation

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