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ks (version 1.5.2)
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
1.5.2
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
October 11th, 2007
Functions in ks (1.5.2)
Search functions
pre.scale, pre.sphere
Pre-sphering and pre-scaling
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
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
kde
Kernel density estimate for multivariate data
ks
ks
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
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
vec, vech, invvec, invvech
Vector and vector half operators
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
kda, Hkda, Hkda.diag
Kernel discriminant analysis for multivariate data
Hscv,Hscv.diag
Smoothed cross-validation (SCV) bandwidth matrix selector for 2- to 6-dimensional data
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