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ks (version 1.3.4)
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
1.3.4
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
September 14th, 2005
Functions in ks (1.3.4)
Search functions
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
unicef
Unicef child mortality - life expectancy data
plot.kde
Kernel density estimate plot for 2- and 3-dimensional data
ks-internal
Internal functions in the ks library
Hkda, Hkda.diag
Bandwidth matrix selectors for kernel discriminant analysis for multivariate data
kde
Kernel density estimate for multivariate data
Hlscv, Hlscv.diag
Least-squares cross-validation (LSCV) 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
kda, pda
Kernel and parametric discriminant analysis
plot.dade
Density estimates and partition plot for discriminant analysis for bi-and tri-variate data
kda.kde, pda.pde
Density estimates for kernel and parametric discriminant analysis for multivariate data
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
pre.sphere, pre.scale
Pre-sphering and pre-scaling
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
compare, compare.kda.diag.cv, compare.kda.cv, compare.pda.cv
Comparisons for kernel and parametric discriminant analysis
rmvnorm.mixt, dmvnorm.mixt
Multivariate normal mixture distribution
Hmise.mixt, Hamise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities