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ks (version 1.8.1)

Kernel smoothing

Description

Kernel smoothers for univariate and multivariate data

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Version

Install

install.packages('ks')

Monthly Downloads

37,236

Version

1.8.1

License

GPL (>= 2)

Maintainer

Tarn Duong

Last Published

January 21st, 2011

Functions in ks (1.8.1)

kdde

Kernel density derivative estimate for multivariate data
ks-internal

Internal functions in the ks library
kde.test

Kernel density based two-sample comparison test
Hscv

Smoothed cross-validation (SCV) bandwidth selector
contourLevels

Contour levels for kde and kda.kde objects
dmvt.mixt

Multivariate t mixture distribution
pre.scale

Pre-sphering and pre-scaling
Hpi

Plug-in bandwidth selector
vec

Vector and vector half operators
Hlscv

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

ks
binning

Linear binning for multivariate data
plotmixt

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

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

Unicef child mortality - life expectancy data
Hns

Normal scale bandwidth
dkde

Functions for univariate kernel density estimates
kde.local.test

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

Plot for kernel local significant difference regions
kda

Kernel discriminant analysis for multivariate data
kde

Kernel density estimate for multivariate data
Hamise.mixt

Squared error bandwidth matrix selectors for normal mixture densities
ise.mixt

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

Plot for kernel density estimate
kda.kde

Kernel density estimate for discriminant analysis for multivariate data
plot.kroc

Plot for kernel receiver operating characteristic curve (ROC) estimate
plot.kcde

Plot for kernel cumulative distribution estimate
plot.kda

Plot for kernel discriminant analysis
kcde

Kernel cumulative distribution/survival function estimate for multivariate data
kcopula

Kernel copula/copula density estimate
contour

Contours functions
ks-package

ks
vector

Vector and vector half operators
kroc

Kernel receiver operating characteristic (ROC) curve
dmvnorm.mixt

Multivariate and univariate normal mixture distribution
plot.kda.kde

Plot for kernel discriminant analysis
kde.1d

Functions for univariate kernel density estimates
plot.kdde

Plot for kernel density derivative estimate
pre.transform

Pre-sphering and pre-scaling
mixt

Normal and t-mixture distributions
plot

Kernel density estimate plot for 1- to 3-dimensional data