ks: Kernel Smoothing
Kernel smoothers for univariate and multivariate data, including density functions, density derivatives, cumulative distributions, modal clustering, discriminant analysis, significant modal regions and two-sample hypothesis testing.
Downloads:
Reverse dependencies:
Reverse depends: |
GPC, Kernelheaping, npphen, TPD |
Reverse imports: |
birdring, cdcsis, curvHDR, feature, GPareto, hdrcde, highriskzone, hypervolume, lg, logcondens, multimode, rainbow, raptr, rugarch, RVPedigree, semiArtificial, sNPLS, tseriesEntropy |
Reverse suggests: |
broom, fdapace, httk, Infusion, kernelboot, sensitivity, transport |
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