sm (2.2-4.1)

Smoothing methods for nonparametric regression and density estimation.

http://www.stats.gla.ac.uk/~adrian/sm
http://cran.r-project.org/web/packages/sm

This is software linked to the book `Applied Smoothing Techniques for Data Analysis: The Kernel Approach with S-Plus Illustrations' Oxford University Press.

Maintainer: Adrian Bowman
Author(s): Adrian Bowman and Adelchi Azzalini. Ported to R by B. D. Ripley <ripley@stats.ox.ac.uk> up to version 2.0, version 2.1 by Adrian Bowman and Adelchi Azzalini, version 2.2 by Adrian Bowman.

License: GPL-2

Uses: akima, gam, misc3d, rgl, rpanel, tkrplot
Reverse depends: DAMisc, EDR, fpca, irtoys, magicaxis, mem, PL.popN, plmm, sisus, sparr, vioplot
Reverse suggests: caroline, EDR, npsm, PL.popN, rpanel, Sim.DiffProc, sirt, sn, spatstat, tsDyn
Reverse enhances: sfsmisc

Released over 9 years ago.