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ks (version 1.10.7)

Kernel Smoothing

Description

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.

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Install

install.packages('ks')

Monthly Downloads

54,418

Version

1.10.7

License

GPL-2 | GPL-3

Maintainer

Tarn Duong

Last Published

July 2nd, 2017

Functions in ks (1.10.7)

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