KernSmooth: Functions for Kernel Smoothing Supporting Wand & Jones (1995)

Functions for kernel smoothing (and density estimation) corresponding to the book: Wand, M.P. and Jones, M.C. (1995) "Kernel Smoothing".

Version: 2.23-16
Priority: recommended
Depends: R (≥ 2.5.0), stats
Suggests: MASS
Published: 2019-10-15
Author: Matt Wand [aut], Cleve Moler [ctb] (LINPACK routines in src), Brian Ripley [trl, cre, ctb] (R port and updates)
Maintainer: Brian Ripley <ripley at>
License: Unlimited
NeedsCompilation: yes
In views: Multivariate
CRAN checks: KernSmooth results


Reference manual: KernSmooth.pdf
Package source: KernSmooth_2.23-16.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: KernSmooth_2.23-16.tgz, r-oldrel: KernSmooth_2.23-16.tgz
Old sources: KernSmooth archive

Reverse dependencies:

Reverse depends: CHsharp, FCGR, gammSlice, gb, GenKern, GoFKernel, HRW, ICE, IsoCI, MEET, mpm, mpmi, mpmi, MPV, PlotContour, qualV, sharpData, TPmsm
Reverse imports: adegraphics, amt, AsyK, BayLum, BiplotGUI, bivariate, cholera, classInt, condSURV, curvHDR, diveMove, DVHmetrics, earlywarnings, EMMIXskew, FactoClass, gamclass, ggalt, gplots, hdrcde, hoardeR, IndexConstruction, jocre, kamila, kdevine, kernplus, ks, localIV, Mercator, mgcViz, NCA, Patterns, philentropy, prodlim, promotionImpact, r2d2, RadioGx, Radviz, rddtools, Rtrack, SCBmeanfd, SensoMineR, Seurat, shazam, shotGroups, sigQC, spd, stpp, survidm, synRNASeqNet, tcgsaseq, tmaptools, TSclust, TSdist
Reverse suggests: AER, aroma.core, bayestestR, bpkde, canprot, colorspace, copula, cutpointr, EMMIXcskew, HistData, HSAUR, HSAUR2, HSAUR3, integIRTy, kernelboot, LaplacesDemon, latentnet, lattice, lattice, lava, lessR, metaboGSE, MRS, MSG, MVA, NCmisc, openair, PBSmodelling, prettydoc, rstan, simsem, stm, survey, vcd


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