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ks (version 1.3.4)

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

37,236

Version

1.3.4

License

GPL (version 2)

Maintainer

Tarn Duong

Last Published

January 16th, 2018

Functions in ks (1.3.4)

Hbcv, Hbcv.diag

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

unicef

Unicef child mortality - life expectancy data

plot.kde

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

ks-internal

Internal functions in the ks library

Hkda, Hkda.diag

Bandwidth matrix selectors for kernel discriminant analysis for multivariate data

kde

Kernel density estimate for multivariate data

Hlscv, Hlscv.diag

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

ise, mise, amise

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

rmvt.mixt, dmvt.mixt

Multivariate t mixture distribution

kda, pda

Kernel and parametric discriminant analysis

plot.dade

Density estimates and partition plot for discriminant analysis for bi-and tri-variate data

kda.kde, pda.pde

Density estimates for kernel and parametric discriminant analysis for multivariate data

Hpi, Hpi.diag

Plug-in bandwidth matrix selector for multivariate data

pre.sphere, pre.scale

Pre-sphering and pre-scaling

Hscv

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

compare, compare.kda.diag.cv, compare.kda.cv, compare.pda.cv

Comparisons for kernel and parametric discriminant analysis

rmvnorm.mixt, dmvnorm.mixt

Multivariate normal mixture distribution

Hmise.mixt, Hamise.mixt

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