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ks (version 1.4.2)

Kernel smoothing

Description

Kernel density estimators and kernel discriminant analysis for multivariate data

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Version

Install

install.packages('ks')

Monthly Downloads

36,515

Version

1.4.2

License

GPL (version 2)

Maintainer

Tarn Duong

Last Published

January 16th, 2018

Functions in ks (1.4.2)

Hscv

Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
Hlscv, Hlscv.diag

Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
compare, compare.kda.diag.cv, compare.kda.cv, compare.pda.cv

Comparisons for kernel and parametric discriminant analysis
kda, pda, Hkda, Hkda.diag, kda.kde, pda.pde

Kernel and parametric discriminant analysis
Hpi, Hpi.diag

Plug-in bandwidth matrix selector for multivariate data
pre.sphere, pre.scale

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

Multivariate normal mixture distribution
Hbcv, Hbcv.diag

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

Kernel density estimate plot for 2- and 3-dimensional data
ks-internal

Internal functions in the ks library
rmvt.mixt, dmvt.mixt

Multivariate t mixture distribution
kde

Kernel density estimate for multivariate data
plot.dade

Density estimates and partition plot for discriminant analysis for 2- and 3-dimensional data
ks

ks
ise, mise, amise

ISE, MISE and AMISE of kernel density estimates for normal mixture densities
Hmise.mixt, Hamise.mixt

MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
unicef

Unicef child mortality - life expectancy data