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ks (version 1.7.4)
Kernel smoothing
Description
Kernel smoothers for univariate and multivariate data
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.7.4
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
October 11th, 2010
Functions in ks (1.7.4)
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ks
ks
contourLevels
Contour levels for kde and kda.kde objects
Hscv
Smoothed cross-validation (SCV) bandwidth selector
kde
Kernel density estimate for multivariate data
kdde
Kernel density derivative estimate for multivariate data
dkde
Functions for univariate kernel density estimates
Hpi
Plug-in bandwidth selector
vec
Vector and vector half operators
plot
Kernel density estimate plot for 1- to 3-dimensional data
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
dmvnorm.mixt
Multivariate and univariate normal mixture distribution
pre.scale
Pre-sphering and pre-scaling
kda
Kernel discriminant analysis for multivariate data
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
binning
Linear binning for multivariate data
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
dmvt.mixt
Multivariate t mixture distribution
ks-internal
Internal functions in the ks library
Hamise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
unicef
Unicef child mortality - life expectancy data
kde.test
Kernel density based two-sample comparison test