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ks (version 1.4.10)

Kernel smoothing

Description

Kernel density estimators and kernel discriminant analysis for multivariate data

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Version

Install

install.packages('ks')

Monthly Downloads

37,236

Version

1.4.10

License

GPL (version 2)

Maintainer

Tarn Duong

Last Published

January 16th, 2018

Functions in ks (1.4.10)

Hamise.mixt, Hmise.mixt, amise.mixt, ise.mixt, mise.mixt

MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
Hpi, Hpi.diag

Plug-in bandwidth matrix selector for multivariate data
compare, compare.kda.diag.cv, compare.kda.cv

Comparisons for kernel discriminant analysis
plotmixt

Plot for 2- and 3-dimensional normal and t-mixture density functions.
pre.scale, pre.sphere

Pre-sphering and pre-scaling
dmvnorm.mixt, rmvnorm.mixt

Multivariate normal mixture distribution
dnorm.mixt, rnorm.mixt

Univariate normal mixture distribution
unicef

Unicef child mortality - life expectancy data
kda, Hkda, Hkda.diag

Kernel discriminant analysis for multivariate data
Hscv,Hscv.diag

Smoothed cross-validation (SCV) bandwidth matrix selector for 2- to 6-dimensional data
Hbcv, Hbcv.diag

Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
vec, vech, invvec, invvech

Vector and vector half operators
dmvt.mixt, rmvt.mixt

Multivariate t mixture distribution
kde

Kernel density estimate for multivariate data
ks

ks
Hlscv, Hlscv.diag

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

Kernel density estimate plot for 1- to 3-dimensional data
plot.kda.kde

Kernel discriminant analysis plot for 1- to 3-dimensional data
kda.kde

Kernel density estimate for kernel discriminant analysis for multivariate data