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ks (version 1.3.3)
Kernel smoothing
Description
Bandwidth matrices for kernel density estimators and kernel discriminant analysis for multivariate data
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Install
install.packages('ks')
Monthly Downloads
33,686
Version
1.3.3
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
September 14th, 2005
Functions in ks (1.3.3)
Search functions
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
ise, mise, amise
ISE, MISE and AMISE of kernel density estimates for normal mixture densities
rmvt.mixt, dmvt.mixt
Multivariate t mixture distribution
kde
Kernel density estimate for multivariate data
kda, pda
Kernel and parametric discriminant analysis
rmvnorm.mixt, dmvnorm.mixt
Multivariate normal mixture distribution
kda.kde, pda.pde
Density estimates for kernel and parametric discriminant analysis for multivariate data
plot.kde
Kernel density estimate plot for 2- and 3-dimensional data
Hkda, Hkda.diag
Bandwidth matrix selectors for kernel discriminant analysis for multivariate data
ks-internal
Internal functions in the ks library
Hmise.mixt, Hamise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
unicef
Unicef child mortality - life expectancy data
compare, compare.kda.diag.cv, compare.kda.cv, compare.pda.cv
Comparisons for kernel and parametric discriminant analysis
Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
plot.dade
Density estimates and partition plot for discriminant analysis for bivariate data
pre.sphere, pre.scale
Pre-sphering and pre-scaling