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: | 1.11.7 |
| Depends: | R (≥ 2.10.0) |
| Imports: | FNN (≥ 1.1), kernlab, KernSmooth (≥ 2.22), Matrix, mclust, mgcv, multicool, mvtnorm (≥ 1.0-0) |
| Suggests: | maps, MASS, misc3d (≥ 0.4-0), OceanView, oz, rgl (≥ 0.66) |
| Published: | 2020-02-11 |
| Author: | Tarn Duong [aut, cre], Matt Wand [ctb], Jose Chacon [ctb], Artur Gramacki [ctb] |
| Maintainer: | Tarn Duong <tarn.duong at gmail.com> |
| License: | GPL-2 | GPL-3 |
| URL: | http://www.mvstat.net/mvksa |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| In views: | Multivariate |
| CRAN checks: | ks results |
| Reference manual: | ks.pdf |
| Vignettes: |
kde |
| Package source: | ks_1.11.7.tar.gz |
| Windows binaries: | r-devel: ks_1.11.7.zip, r-release: ks_1.11.7.zip, r-oldrel: ks_1.11.7.zip |
| macOS binaries: | r-release: ks_1.11.7.tgz, r-oldrel: ks_1.11.7.tgz |
| Old sources: | ks archive |
| Reverse depends: | Kernelheaping, npphen, TPD |
| Reverse imports: | AsyK, birdring, BMTAR, cdcsis, curvHDR, diggit, feature, flowStats, goffda, GPareto, hdrcde, highriskzone, hypervolume, lg, logcondens, lsbs, MaskJointDensity, motmot, multimode, NMADiagT, oddstream, openCyto, rainbow, RandomCoefficients, raptr, rugarch, semiArtificial, simIReff, simukde, smoothROCtime, sNPLS, starvars, stray, Surrogate, TEAM, tseriesEntropy, VIRF |
| Reverse suggests: | broom, condvis2, fdapace, httk, kernelboot, sensitivity, transport |
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