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ks (version 1.4.4)
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
1.4.4
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
October 31st, 2006
Functions in ks (1.4.4)
Search functions
Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hamise.mixt, Hmise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
amise.mixt, ise.mixt, mise.mixt
ISE, MISE and AMISE of kernel density estimates for normal mixture densities
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
ks
ks
unicef
Unicef child mortality - life expectancy data
pre.scale, pre.sphere
Pre-sphering and pre-scaling
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
kde
Kernel density estimate for multivariate data
vec, vech, invvec, invvech
Vector and vector half operators
kda, Hkda, Hkda.diag
Kernel discriminant analysis for multivariate data