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ks (version 1.3.5)
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
35,772
Version
1.3.5
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
December 19th, 2005
Functions in ks (1.3.5)
Search functions
rmvnorm.mixt, dmvnorm.mixt
Multivariate normal mixture distribution
ise, mise, amise
ISE, MISE and AMISE of kernel density estimates for normal mixture densities
ks-internal
Internal functions in the ks library
kda.kde, pda.pde
Density estimates for kernel and parametric discriminant analysis for multivariate data
plot.dade
Density estimates and partition plot for discriminant analysis for 2- and 3-dimensional data
Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
pre.sphere, pre.scale
Pre-sphering and pre-scaling
plot.kde
Kernel density estimate plot for 2- and 3-dimensional data
rmvt.mixt, dmvt.mixt
Multivariate t mixture distribution
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
Hkda, Hkda.diag
Bandwidth matrix selectors for kernel discriminant analysis for multivariate data
kda, pda
Kernel and parametric discriminant analysis
compare, compare.kda.diag.cv, compare.kda.cv, compare.pda.cv
Comparisons for kernel and parametric discriminant analysis
unicef
Unicef child mortality - life expectancy data
kde
Kernel density estimate for multivariate data
Hmise.mixt, Hamise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data