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ks (version 1.5.6)
Kernel smoothing
Description
Kernel density estimators and kernel discriminant analysis for multivariate data
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Install
install.packages('ks')
Monthly Downloads
35,772
Version
1.5.6
License
GPL-2
Maintainer
Tarn Duong
Last Published
July 29th, 2008
Functions in ks (1.5.6)
Search functions
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
unicef
Unicef child mortality - life expectancy data
kda, Hkda, Hkda.diag, hkda
Kernel discriminant analysis for multivariate data
ks
ks
Hscv, Hscv.diag
Smoothed cross-validation (SCV) bandwidth matrix selector for 2- to 6-dimensional data
Hamise.mixt, Hmise.mixt, amise.mixt, ise.mixt, mise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
kde
Kernel density estimate for multivariate data
vec, vech, invvec, invvech
Vector and vector half operators
binning
Linear binning for multivariate data
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
Hpi, Hpi.diag, hpi
Plug-in bandwidth matrix selector for multivariate data
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
ks-internal
Internal functions in the ks library
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
contourLevels
Contour levels for kde and kda.kde objects
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
pre.scale, pre.sphere
Pre-sphering and pre-scaling