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ks (version 1.6.2)
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
1.6.2
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
March 11th, 2009
Functions in ks (1.6.2)
Search functions
kde
Kernel density estimate for multivariate data
dkde, pkde, qkde, rkde
Functions for 1-dimensional kernel density estimates
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
vec, vech, invvec, invvech
Vector and vector half operators
Hamise.mixt, Hmise.mixt, amise.mixt, ise.mixt, mise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
Hscv, Hscv.diag, hscv
Smoothed cross-validation (SCV) bandwidth selector
binning
Linear binning for multivariate data
contourLevels
Contour levels for kde and kda.kde objects
pre.scale, pre.sphere
Pre-sphering and pre-scaling
ks
ks
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
Hpi, Hpi.diag, hpi
Plug-in bandwidth selector
ks-internal
Internal functions in the ks library
kda, Hkda, Hkda.diag, hkda
Kernel discriminant analysis for multivariate data
drvkde
Kernel density derivative estimation
Hlscv, Hlscv.diag, hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
unicef
Unicef child mortality - life expectancy data
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data