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ks (version 1.6.0)
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
1.6.0
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
February 12th, 2009
Functions in ks (1.6.0)
Search functions
Hamise.mixt, Hmise.mixt, amise.mixt, ise.mixt, mise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
Hscv, Hscv.diag, hscv
Smoothed cross-validation (SCV) bandwidth selector
ks
ks
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
contourLevels
Contour levels for kde and kda.kde objects
dkde, pkde, qkde, rkde
Functions for 1-dimensional kernel density estimates
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
kde
Kernel density estimate for multivariate data
binning
Linear binning for multivariate data
unicef
Unicef child mortality - life expectancy data
ks-internal
Internal functions in the ks library
vec, vech, invvec, invvech
Vector and vector half operators
Hpi, Hpi.diag, hpi
Plug-in bandwidth selector
pre.scale, pre.sphere
Pre-sphering and pre-scaling
drvkde
Kernel density derivative estimation
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
kda, Hkda, Hkda.diag, hkda
Kernel discriminant analysis for multivariate data
Hlscv, Hlscv.diag, hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data