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ks (version 1.4.3)
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
1.4.3
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
September 11th, 2006
Functions in ks (1.4.3)
Search functions
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
Hamise.mixt, Hmise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
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
pre.scale, pre.sphere
Pre-sphering and pre-scaling
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
unicef
Unicef child mortality - life expectancy data
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
vec, vech, invvec, invvech
Vector and vector half operators
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
amise.mixt, ise.mixt, mise.mixt
ISE, MISE and AMISE of kernel density estimates for normal mixture densities
kda, Hkda, Hkda.diag
Kernel discriminant analysis for multivariate data
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
kde
Kernel density estimate for multivariate data
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
ks
ks
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data