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ks (version 1.8.10)
Kernel smoothing
Description
Kernel smoothers for univariate and multivariate data
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.8.10
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
September 19th, 2012
Functions in ks (1.8.10)
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plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.
dmvnorm.mixt
Multivariate and univariate normal mixture distribution
kde.local.test
Kernel density based local two-sample comparison test
pre.scale
Pre-sphering and pre-scaling
ks-internal
Internal functions in the ks library
unicef
Unicef child mortality - life expectancy data
kda
Kernel discriminant analysis for multivariate data
dmvt.mixt
Multivariate t mixture distribution
contourLevels
Contours for kde and kda.kde objects
plot.kda.kde
Plot for kernel discriminant analysis
binning
Linear binning for multivariate data
Hamise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
plot.kde
Plot for kernel density estimate
kda.kde
Kernel density estimate for discriminant analysis for multivariate data
Hscv
Smoothed cross-validation (SCV) bandwidth selector
kdde
Kernel density derivative estimate for multivariate data
dkde
Functions for univariate kernel density estimates
ks
ks
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
plot.kde.loctest
Plot for kernel local significant difference regions
kde.test
Kernel density based two-sample comparison test
Hns
Normal scale bandwidth
Hpi
Plug-in bandwidth selector
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
vec
Vector and vector half operators
kde
Kernel density estimate for multivariate data