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ks (version 1.6.5)
Kernel smoothing
Description
Kernel density estimators and kernel discriminant analysis for multivariate data
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Install
install.packages('ks')
Monthly Downloads
33,431
Version
1.6.5
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
June 23rd, 2009
Functions in ks (1.6.5)
Search functions
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
kde
Kernel density estimate for multivariate data
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
Hpi, Hpi.diag, hpi
Plug-in bandwidth selector
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
Hlscv, Hlscv.diag, hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
ks
ks
drvkde
Kernel density derivative estimation
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
pre.scale, pre.sphere
Pre-sphering and pre-scaling
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
kda, Hkda, Hkda.diag, hkda
Kernel discriminant analysis for multivariate data
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
ks-internal
Internal functions in the ks library
Hscv, Hscv.diag, hscv
Smoothed cross-validation (SCV) bandwidth selector
dkde, pkde, qkde, rkde
Functions for 1-dimensional kernel density estimates
Hamise.mixt, Hmise.mixt, amise.mixt, ise.mixt, mise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
unicef
Unicef child mortality - life expectancy data
binning
Linear binning for multivariate data
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
vec, vech, invvec, invvech
Vector and vector half operators
contourLevels
Contour levels for kde and kda.kde objects