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ks (version 1.4.1)
Kernel smoothing
Description
Kernel density estimators and kernel discriminant analysis for multivariate data
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.4.1
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
January 16th, 2018
Functions in ks (1.4.1)
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ks
ks
compare, compare.kda.diag.cv, compare.kda.cv, compare.pda.cv
Comparisons for kernel and parametric discriminant analysis
ks-internal
Internal functions in the ks library
kda, pda, Hkda, Hkda.diag, kda.kde, pda.pde
Kernel and parametric discriminant analysis
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
vec, vech, invvec, invvech
Vector and vector half operators
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
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
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for multivariate data
unicef
Unicef child mortality - life expectancy data
plot.dade
Density estimates and partition plot for discriminant analysis for 2- and 3-dimensional data
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
Hscv,Hscv.diag
Smoothed cross-validation (SCV) bandwidth matrix selector for 2- to 6-dimensional data
Hamise.mixt, Hmise.mixt, amise.mixt, ise.mixt, mise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
kde
Kernel density estimate for multivariate data
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
ise, mise, amise
ISE, MISE and AMISE of kernel density estimates for normal mixture densities
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
pre.sphere, pre.scale
Pre-sphering and pre-scaling
kda, Hkda, Hkda.diag
Kernel discriminant analysis for multivariate data
pre.scale, pre.sphere
Pre-sphering and pre-scaling
rmvnorm.mixt, dmvnorm.mixt
Multivariate normal mixture distribution
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
rmvt.mixt, dmvt.mixt
Multivariate t mixture distribution
Hmise.mixt, Hamise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities