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ks (version 1.4.0)
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
1.4.0
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
May 23rd, 2006
Functions in ks (1.4.0)
Search functions
plot.dade
Density estimates and partition plot for discriminant analysis for 2- and 3-dimensional data
Hmise.mixt, Hamise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
kda, pda, Hkda, Hkda.diag, kda.kde, pda.pde
Kernel and parametric discriminant analysis
compare, compare.kda.diag.cv, compare.kda.cv, compare.pda.cv
Comparisons for kernel and parametric discriminant analysis
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
kde
Kernel density estimate for multivariate data
ise, mise, amise
ISE, MISE and AMISE of kernel density estimates for normal mixture densities
ks-internal
Internal functions in the ks library
ks
ks
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
unicef
Unicef child mortality - life expectancy data
pre.sphere, pre.scale
Pre-sphering and pre-scaling
plot.kde
Kernel density estimate plot for 2- and 3-dimensional data
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
rmvt.mixt, dmvt.mixt
Multivariate t mixture distribution
rmvnorm.mixt, dmvnorm.mixt
Multivariate normal mixture distribution