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: 2.2-5.5
Depends: R (≥ 3.1.0)
Suggests: rgl, misc3d, akima, gam, tkrplot, rpanel (≥ 1.1-4), tcltk
Published: 2018-05-06
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.bowman at glasgow.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.stats.gla.ac.uk/~adrian/sm
NeedsCompilation: yes
Citation: sm citation info
Materials: ChangeLog
In views: SocialSciences
CRAN checks: sm results

Downloads:

Reference manual: sm.pdf
Package source: sm_2.2-5.5.tar.gz
Windows binaries: r-devel: sm_2.2-5.5.zip, r-release: sm_2.2-5.5.zip, r-oldrel: sm_2.2-5.5.zip
OS X binaries: r-release: sm_2.2-5.4.tgz, r-oldrel: sm_2.2-5.4.tgz
Old sources: sm archive

Reverse dependencies:

Reverse depends: EDR, fpca, irtoys, magicaxis, plmm, vioplot
Reverse imports: caRpools, DAMisc, DepthProc, funcy, GWSDAT, loggle, mem, MuViCP, otinference, rase, regplot, SDD, spef
Reverse suggests: caroline, npsm, rpanel, Sim.DiffProc, sirt, spatstat, tsDyn
Reverse enhances: sfsmisc

Linking:

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