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ks (version 1.6.11)
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
1.6.11
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
March 9th, 2010
Functions in ks (1.6.11)
Search all functions
dmvnorm.mixt, rmvnorm.mixt
Multivariate normal mixture distribution
compare, compare.kda.diag.cv, compare.kda.cv
Comparisons for kernel discriminant analysis
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, hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
binning
Linear binning for multivariate data
dnorm.mixt, rnorm.mixt
Univariate normal mixture distribution
unicef
Unicef child mortality - life expectancy data
plot.kde
Kernel density estimate plot for 1- to 3-dimensional data
Hscv, Hscv.diag, hscv
Smoothed cross-validation (SCV) bandwidth selector
ks-internal
Internal functions in the ks library
plot.kda.kde
Kernel discriminant analysis plot for 1- to 3-dimensional data
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
Hpi, Hpi.diag, hpi
Plug-in bandwidth selector
contourLevels
Contour levels for kde and kda.kde objects
vec, vech, invvec, invvech
Vector and vector half operators
kda.kde
Kernel density estimate for kernel discriminant analysis for multivariate data
pre.scale, pre.sphere
Pre-sphering and pre-scaling
ks
ks
drvkde
Kernel density derivative estimation
kde
Kernel density estimate for multivariate data
dkde, pkde, qkde, rkde
Functions for 1-dimensional kernel density estimates
kda, Hkda, Hkda.diag, hkda
Kernel discriminant analysis for multivariate data
dmvt.mixt, rmvt.mixt
Multivariate t mixture distribution