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ks (version 1.3.1)
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
33,431
Version
1.3.1
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
April 18th, 2005
Functions in ks (1.3.1)
Search functions
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
plot.kde
Kernel density estimate plot for 2- and 3-dimensional data
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
kda, pda, compare
Kernel and parametric discriminant analysis
plot.dade
Density estimates and partition plot for discriminant analysis for bivariate data
unicef
Unicef child mortality - life expectancy data
kda.kde, pda.pde
Density estimates for kernel and parametric discriminant analysis for multivariate data
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
ise, mise, amise
ISE, MISE and AMISE of kernel density estimates for normal mixture densities
pre.sphere, pre.scale
Pre-sphering and pre-scaling
ks-internal
Internal functions in the ks library
Hkda, Hkda.diag
Bandwidth matrix selectors for kernel discriminant analysis for multivariate data
rmvt.mixt, dmvt.mixt
Multivariate t mixture distribution
Hmise.mixt, Hamise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
rmvnorm.mixt, dmvnorm.mixt
Multivariate normal mixture distribution
kde
Kernel density estimate for multivariate data