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ks (version 1.8.7)
Kernel smoothing
Description
Kernel smoothers for univariate and multivariate data
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Install
install.packages('ks')
Monthly Downloads
83,014
Version
1.8.7
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
March 16th, 2012
Functions in ks (1.8.7)
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Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hamise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
kdde
Kernel density derivative estimate for multivariate data
kda
Kernel discriminant analysis for multivariate data
vec
Vector and vector half operators
plot
Kernel density estimate plot for 1- to 3-dimensional data
Hscv
Smoothed cross-validation (SCV) bandwidth selector
dmvt.mixt
Multivariate t mixture distribution
dkde
Functions for univariate kernel density estimates
unicef
Unicef child mortality - life expectancy data
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
pre.scale
Pre-sphering and pre-scaling
contourLevels
Contours for kde and kda.kde objects
ks
ks
ks-internal
Internal functions in the ks library
kde
Kernel density estimate for multivariate data
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
Hpi
Plug-in bandwidth selector
kde.test
Kernel density based two-sample comparison test
binning
Linear binning for multivariate data
dmvnorm.mixt
Multivariate and univariate normal mixture distribution