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ks (version 1.4.12)
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
1.4.12
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
September 6th, 2007
Functions in ks (1.4.12)
Search functions
Hamise.mixt, Hmise.mixt, amise.mixt, ise.mixt, mise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
kda, Hkda, Hkda.diag
Kernel discriminant analysis for multivariate data
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
ks
ks
kde
Kernel density estimate for multivariate data
pre.scale, pre.sphere
Pre-sphering and pre-scaling
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
Hscv,Hscv.diag
Smoothed cross-validation (SCV) bandwidth matrix selector for 2- to 6-dimensional data
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
vec, vech, invvec, invvech
Vector and vector half operators