ks: Kernel Smoothing

Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for 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: 1.14.0
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: 2022-11-24
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

Documentation:

Reference manual: ks.pdf
Vignettes: kde

Downloads:

Package source: ks_1.14.0.tar.gz
Windows binaries: r-devel: ks_1.14.0.zip, r-release: ks_1.14.0.zip, r-oldrel: ks_1.14.0.zip
macOS binaries: r-release (arm64): ks_1.14.0.tgz, r-oldrel (arm64): ks_1.14.0.tgz, r-release (x86_64): ks_1.14.0.tgz, r-oldrel (x86_64): ks_1.14.0.tgz
Old sources: ks archive

Reverse dependencies:

Reverse depends: fbst, Kernelheaping, npphen, TPD
Reverse imports: BEKKs, biosurvey, birdring, blocs, 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, qch, rainbow, raptr, reconsi, refreg, rugarch, semiArtificial, simIReff, simlandr, simukde, smoothROCtime, sNPLS, SPARTAAS, spatialEco, starvars, stppSim, stray, Surrogate, TEAM, ThresholdROC, tseriesEntropy, VIRF
Reverse suggests: broom, condvis2, fdapace, httk, InteractiveComplexHeatmap, kernelboot, mable, np, sensitivity, transport

Linking:

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