`install.packages('ks')`

34,666

1.10.7

GPL-2 | GPL-3

July 2nd, 2017

contour

Contours functions

ise.mixt

Squared error bandwidth matrix selectors for normal
mixture densities

Hns

Normal scale bandwidth

Hpi

Plug-in bandwidth selector

Hbcv

Biased cross-validation (BCV) bandwidth matrix selector
for bivariate data

Hlscv

Least-squares cross-validation (LSCV) bandwidth matrix selector
for multivariate data

Hscv

Smoothed cross-validation (SCV) bandwidth selector

binning

Linear binning for multivariate data

kcde

Kernel cumulative distribution/survival function estimate

kcopula

Kernel copula (density) estimate

kfe

Kernel functional estimate

kfs

Kernel feature significance

kda

Kernel discriminant analysis

kdde

Kernel density derivative estimate

mixt

Normal and t-mixture distributions

kms

Kernel mean shift clustering.

kroc

Kernel receiver operating characteristic (ROC) curve

plot.kda

Plot for kernel discriminant analysis

plot.kcde

Plot for kernel cumulative distribution estimate

plotmixt

Plot for 1- to 3-dimensional normal and t-mixture density functions.

pre.transform

Pre-sphering and pre-scaling

plot.kdde

Plot for kernel density derivative estimate

unicef

Unicef child mortality - life expectancy data

vector

Vector and vector half operators

kde.1d

Functions for univariate kernel density estimates

kde

Kernel density estimate

plot.kfs

Plot for kernel feature significance

plot.kroc

Plot for kernel receiver operating
characteristic curve (ROC) estimate

kde.local.test

Kernel density based local two-sample comparison test

kde.test

Kernel density based global two-sample comparison test

ks-internal

Internal functions in the ks library

ks-package

ks

plot.kde

Plot for kernel density estimate

plot.kde.loctest

Plot for kernel local significant difference regions