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:	2.2-5.7.1
Depends:	R (≥ 3.1.0)
Suggests:	rgl, misc3d, interp, gam, tkrplot, rpanel (≥ 1.1-4), tcltk
Published:	2022-07-04
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.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_2.2-5.7.1.tar.gz
Windows binaries:	r-devel: sm_2.2-5.7.1.zip, r-release: sm_2.2-5.7.1.zip, r-oldrel: sm_2.2-5.7.1.zip
macOS binaries:	r-release (arm64): sm_2.2-5.7.1.tgz, r-oldrel (arm64): sm_2.2-5.7.1.tgz, r-release (x86_64): sm_2.2-5.7.1.tgz, r-oldrel (x86_64): sm_2.2-5.7.1.tgz
Old sources:	sm archive

Reverse dependencies:

Reverse depends:	compcodeR, irtoys, vioplot
Reverse imports:	bite, brinton, caRpools, clustComp, DepthProc, GWSDAT, magicaxis, mem, MuViCP, otinference, psre, regplot, spef
Reverse suggests:	rpanel, Sim.DiffProc, sirt, spatstat.core, tsDyn, wrGraph, wrProteo
Reverse enhances:	caroline, sfsmisc

Linking:

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