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ks (version 1.6.13)
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
1.6.13
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
June 11th, 2010
Functions in ks (1.6.13)
Search functions
Hamise.mixt, Hmise.mixt, Hamise.mixt.diag, Hmise.mixt.diag, amise.mixt, ise.mixt, mise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution
pre.scale, pre.sphere
Pre-sphering and pre-scaling
kda, Hkda, Hkda.diag, hkda
Kernel discriminant analysis for multivariate data
drvkde
Kernel density derivative estimation
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
ks-internal
Internal functions in the ks library
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
vec, vech, invvec, invvech
Vector and vector half operators
dkde, pkde, qkde, rkde
Functions for 1-dimensional kernel density estimates
Hpi, Hpi.diag, hpi
Plug-in bandwidth selector
kde
Kernel density estimate for multivariate data
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
unicef
Unicef child mortality - life expectancy data
contourLevels
Contour levels for kde and kda.kde objects
Hscv, Hscv.diag, hscv
Smoothed cross-validation (SCV) bandwidth selector
kdde
Kernel density dereivative estimate for multivariate data
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
binning
Linear binning for multivariate data
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
ks
ks
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
Hlscv, Hlscv.diag, hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data