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ks (version 1.4.2)
Kernel smoothing
Description
Kernel density estimators and kernel discriminant analysis for multivariate data
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Install
install.packages('ks')
Monthly Downloads
24,783
Version
1.4.2
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
July 10th, 2006
Functions in ks (1.4.2)
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Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
compare, compare.kda.diag.cv, compare.kda.cv, compare.pda.cv
Comparisons for kernel and parametric discriminant analysis
kda, pda, Hkda, Hkda.diag, kda.kde, pda.pde
Kernel and parametric discriminant analysis
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
pre.sphere, pre.scale
Pre-sphering and pre-scaling
rmvnorm.mixt, dmvnorm.mixt
Multivariate normal mixture distribution
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
plot.kde
Kernel density estimate plot for 2- and 3-dimensional data
ks-internal
Internal functions in the ks library
rmvt.mixt, dmvt.mixt
Multivariate t mixture distribution
kde
Kernel density estimate for multivariate data
plot.dade
Density estimates and partition plot for discriminant analysis for 2- and 3-dimensional data
ks
ks
ise, mise, amise
ISE, MISE and AMISE of kernel density estimates for normal mixture densities
Hmise.mixt, Hamise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
unicef
Unicef child mortality - life expectancy data