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ks (version 1.8.2)
Kernel smoothing
Description
Kernel smoothers for univariate and multivariate data
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Install
install.packages('ks')
Monthly Downloads
48,608
Version
1.8.2
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
May 19th, 2011
Functions in ks (1.8.2)
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Hamise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
kde.test
Kernel density based two-sample comparison test
unicef
Unicef child mortality - life expectancy data
kda
Kernel discriminant analysis for multivariate data
binning
Linear binning for multivariate data
dmvt.mixt
Multivariate t mixture distribution
Hscv
Smoothed cross-validation (SCV) bandwidth selector
plot
Kernel density estimate plot for 1- to 3-dimensional data
dkde
Functions for univariate kernel density estimates
Hpi
Plug-in bandwidth selector
vec
Vector and vector half operators
dmvnorm.mixt
Multivariate and univariate normal mixture distribution
contourLevels
Contour levels for kde and kda.kde objects
ks
ks
kdde
Kernel density derivative estimate for multivariate data
ks-internal
Internal functions in the ks library
kde
Kernel density estimate for multivariate data
pre.scale
Pre-sphering and pre-scaling
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data