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ks (version 1.8.11)

Kernel smoothing

Description

Kernel smoothers for univariate and multivariate data

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Version

Install

install.packages('ks')

Monthly Downloads

36,515

Version

1.8.11

License

GPL (>= 2)

Maintainer

Tarn Duong

Last Published

December 13th, 2012

Functions in ks (1.8.11)

binning

Linear binning for multivariate data
dmvt.mixt

Multivariate t mixture distribution
Hscv

Smoothed cross-validation (SCV) bandwidth selector
contourLevels

Contours for kde and kda.kde objects
Hbcv

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

Functions for univariate kernel density estimates
kde

Kernel density estimate for multivariate data
kde.local.test

Kernel density based local two-sample comparison test
plot.kde.loctest

Plot for kernel local significant difference regions
Hns

Normal scale bandwidth
plot.kde

Plot for kernel density estimate
plot.kda.kde

Plot for kernel discriminant analysis
dmvnorm.mixt

Multivariate and univariate normal mixture distribution
ks-internal

Internal functions in the ks library
unicef

Unicef child mortality - life expectancy data
pre.scale

Pre-sphering and pre-scaling
Hlscv

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

Kernel density derivative estimate for multivariate data
Hpi

Plug-in bandwidth selector
Hamise.mixt

Squared error bandwidth matrix selectors for normal mixture densities
kda.kde

Kernel density estimate for discriminant analysis for multivariate data
plotmixt

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

Kernel density based two-sample comparison test
ks

ks
kda

Kernel discriminant analysis for multivariate data
vec

Vector and vector half operators