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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: 2.2-6.0
Depends: R (≥ 3.1.0)
Suggests: rgl, misc3d, interp, gam, tkrplot, rpanel (≥ 1.1-4), tcltk
Published: 2024-02-17
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)]
NeedsCompilation: yes
Citation: sm citation info
Materials: NEWS ChangeLog
CRAN checks: sm results

Documentation:

Reference manual: sm.pdf

Downloads:

Package source: sm_2.2-6.0.tar.gz
Windows binaries: r-devel: sm_2.2-6.0.zip, r-release: sm_2.2-6.0.zip, r-oldrel: sm_2.2-6.0.zip
macOS binaries: r-release (arm64): sm_2.2-6.0.tgz, r-oldrel (arm64): sm_2.2-6.0.tgz, r-release (x86_64): sm_2.2-6.0.tgz, r-oldrel (x86_64): sm_2.2-6.0.tgz
Old sources: sm archive

Reverse dependencies:

Reverse depends: compcodeR, irtoys, vioplot
Reverse imports: bite, brinton, clustComp, consICA, DepthProc, GWSDAT, magicaxis, mem, MuViCP, otinference, regplot, spef, wxgenR
Reverse suggests: kedd, npsm, rpanel, Sim.DiffProc, sirt, spatstat.explore, spatstat.model, tsDyn, wrGraph, wrProteo
Reverse enhances: sfsmisc

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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