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ks (version 1.7.1)
Kernel smoothing
Description
Kernel smoothers for univariate and multivariate data
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Install
install.packages('ks')
Monthly Downloads
35,772
Version
1.7.1
License
GPL (>= 2)
Maintainer
Tarn Duong
Last Published
September 14th, 2010
Functions in ks (1.7.1)
Search functions
binning
Linear binning for multivariate data
kdde
Kernel density derivative estimate for multivariate data
ks
ks
kde
Kernel density estimate for multivariate data
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
plot
Kernel density estimate plot for 1- to 3-dimensional data
Hpi
Plug-in bandwidth selector
dmvt.mixt
Multivariate t mixture distribution
kde.test
Kernel density based two-sample comparison test
kda
Kernel discriminant analysis for multivariate data
ks-internal
Internal functions in the ks library
Hscv
Smoothed cross-validation (SCV) bandwidth selector
Hamise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
vec
Vector and vector half operators
plotmixt
Plot for 2- and 3-dimensional normal and t-mixture density functions.
contourLevels
Contour levels for kde and kda.kde objects
pre.scale
Pre-sphering and pre-scaling
dkde
Functions for univariate kernel density estimates
dmvnorm.mixt
Multivariate and univariate normal mixture distribution
unicef
Unicef child mortality - life expectancy data