ks: Kernel Smoothing

Kernel smoothers for univariate and multivariate data, including densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.

Version: 1.13.4
Depends: R (≥ 2.10.0)
Imports: FNN (≥ 1.1), kernlab, KernSmooth (≥ 2.22), Matrix, mclust, mgcv, multicool, mvtnorm (≥ 1.0-0), plot3D, pracma
Suggests: geometry, MASS, misc3d (≥ 0.4-0), oz, rgl (≥ 0.66)
Published: 2022-02-23
Author: Tarn Duong ORCID iD [aut, cre], Matt Wand ORCID iD [ctb], Jose Chacon [ctb], Artur Gramacki ORCID iD [ctb]
Maintainer: Tarn Duong <tarn.duong at gmail.com>
License: GPL-2 | GPL-3
URL: https://www.mvstat.net/mvksa/
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: ks results


Reference manual: ks.pdf
Vignettes: kde


Package source: ks_1.13.4.tar.gz
Windows binaries: r-devel: ks_1.13.4.zip, r-release: ks_1.13.4.zip, r-oldrel: ks_1.13.4.zip
macOS binaries: r-release (arm64): ks_1.13.4.tgz, r-release (x86_64): ks_1.13.4.tgz, r-oldrel: ks_1.13.4.tgz
Old sources: ks archive

Reverse dependencies:

Reverse depends: Kernelheaping, npphen, TPD
Reverse imports: biosurvey, birdring, BMTAR, cdcsis, changepoints, curvHDR, diggit, DMTL, ecospat, eks, feature, flowStats, goffda, GPareto, hdrcde, highriskzone, hypervolume, lg, logcondens, lsbs, mobirep, motmot, multimode, Nebulosa, NMADiagT, nullranges, oddstream, openCyto, qch, rainbow, RandomCoefficients, raptr, refreg, rugarch, semiArtificial, simIReff, simlandr, simukde, smoothROCtime, sNPLS, SPARTAAS, starvars, stppSim, stray, Surrogate, TEAM, ThresholdROC, tseriesEntropy, VIRF
Reverse suggests: broom, condvis2, fdapace, httk, InteractiveComplexHeatmap, kernelboot, sensitivity, transport


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