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 |
DOI: |
10.32614/CRAN.package.sm |
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:
Downloads:
Reverse dependencies:
Reverse depends: |
compcodeR, irtoys, vioplot |
Reverse imports: |
baggingbwsel, 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:
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