Functions for kernel smoothing (and density estimation) corresponding to the book: Wand, M.P. and Jones, M.C. (1995) "Kernel Smoothing".
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2.23-15 by Brian Ripley, 4 years ago
Browse source code at https://github.com/cran/KernSmooth
Authors: Matt Wand [aut] , Brian Ripley [trl, cre, ctb] (R port and updates)
Documentation: PDF Manual
Task views: Multivariate Statistics
Unlimited license
Depends on stats
Suggests MASS
Imported by BayLum, BiplotGUI, DVHmetrics, EMMIXskew, FactoClass, NCA, Radviz, SCBmeanfd, SensoMineR, TSclust, TSdist, adegraphics, amt, bivariate, cholera, condSURV, ctsem, curvHDR, diveMove, earlywarnings, gamclass, ggalt, gplots, hdrcde, hoardeR, jocre, kamila, kdevine, kernplus, ks, localIV, mgcViz, philentropy, prodlim, r2d2, rddtools, shazam, shotGroups, sigQC, spd, stpp, survidm, synRNASeqNet, tcgsaseq, tmaptools.
Depended on by CHsharp, FCGR, GenKern, GoFKernel, HRW, ICE, IsoCI, MEET, TPmsm, gammSlice, gb, mpm, mpmi, qualV.
Suggested by AER, EMMIXcskew, HSAUR, HSAUR2, HSAUR3, HistData, LaplacesDemon, MRS, MSG, MVA, NCmisc, PBSmodelling, aroma.core, bpkde, canprot, colorspace, copula, cutpointr, integIRTy, kernelboot, latentnet, lattice, lava, lessR, metaboGSE, openair, prettydoc, rstan, simsem, stm, survey, vcd.
See at CRAN