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ks (version 1.3.2)

Kernel smoothing

Description

Bandwidth matrices for kernel density estimators and kernel discriminant analysis for multivariate data

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Version

Install

install.packages('ks')

Monthly Downloads

36,515

Version

1.3.2

License

GPL (version 2)

Maintainer

Tarn Duong

Last Published

January 16th, 2018

Functions in ks (1.3.2)

Hscv

Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data

kda.kde, pda.pde

Density estimates for kernel and parametric discriminant analysis for multivariate data

pre.sphere, pre.scale

Pre-sphering and pre-scaling

plot.kde

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

rmvnorm.mixt, dmvnorm.mixt

Multivariate normal mixture distribution

Hpi, Hpi.diag

Plug-in bandwidth matrix selector for multivariate data

Hkda, Hkda.diag

Bandwidth matrix selectors for kernel discriminant analysis for multivariate data

unicef

Unicef child mortality - life expectancy data

Hbcv, Hbcv.diag

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

Hlscv, Hlscv.diag

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

ks-internal

Internal functions in the ks library

Hmise.mixt, Hamise.mixt

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

rmvt.mixt, dmvt.mixt

Multivariate t mixture distribution

kde

Kernel density estimate for multivariate data

ise, mise, amise

ISE, MISE and AMISE of kernel density estimates for normal mixture densities

kda, pda, compare

Kernel and parametric discriminant analysis

plot.dade

Density estimates and partition plot for discriminant analysis for bivariate data