sm: 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.

Version: 2.2-4.1
Depends: R (≥ 2.7.0)
Suggests: rpanel, tkrplot, rgl, misc3d, akima, gam
Published: 2010-05-04
Author: Adrian Bowman and Adelchi Azzalini. Ported to R by B. D. Ripley up to version 2.0, version 2.1 by Adrian Bowman and Adelchi Azzalini, version 2.2 by Adrian Bowman.
Maintainer: Adrian Bowman <adrian at stats.gla.ac.uk>
License: GPL-2
URL: http://www.stats.gla.ac.uk/~adrian/sm
Citation: sm citation info
In views: SocialSciences
CRAN checks: sm results

Downloads:

Package source: sm_2.2-4.1.tar.gz
MacOS X binary: sm_2.2-4.1.tgz
Windows binary: sm_2.2-4.1.zip
Reference manual: sm.pdf
News/ChangeLog:ChangeLog
Old sources: sm archive

Reverse dependencies:

Reverse depends: DAMisc, fpca, irtoys, mem, PL.popN, sisus, vioplot
Reverse suggests: caroline, EDR, PL.popN, rpanel, spatstat, tsDyn
Reverse enhances: sfsmisc