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ks (version 1.8.4)
Kernel smoothing
Description
Kernel smoothers for univariate and multivariate data
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.8.4
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
November 4th, 2011
Functions in ks (1.8.4)
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ks-internal
Internal functions in the ks library
kda
Kernel discriminant analysis for multivariate data
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
unicef
Unicef child mortality - life expectancy data
Hamise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
plot
Kernel density estimate plot for 1- to 3-dimensional data
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
vec
Vector and vector half operators
dmvt.mixt
Multivariate t mixture distribution
dmvnorm.mixt
Multivariate and univariate normal mixture distribution
kde.test
Kernel density based two-sample comparison test
Hpi
Plug-in bandwidth selector
ks
ks
Hscv
Smoothed cross-validation (SCV) bandwidth selector
pre.scale
Pre-sphering and pre-scaling
kdde
Kernel density derivative estimate for multivariate data
dkde
Functions for univariate kernel density estimates
kde
Kernel density estimate for multivariate data
contourLevels
Contour levels for kde and kda.kde objects
binning
Linear binning for multivariate data