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ks (version 1.10.4)
Kernel Smoothing
Description
Kernel smoothers for univariate and multivariate data.
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Install
install.packages('ks')
Monthly Downloads
50,705
Version
1.10.4
License
GPL-2 | GPL-3
Maintainer
Tarn Duong
Last Published
June 25th, 2016
Functions in ks (1.10.4)
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ise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
kcde
Kernel cumulative distribution/survival function estimate
kcopula
Kernel copula/copula density estimate
ks-internal
Internal functions in the ks library
mixt
Normal and t-mixture distributions
ks-package
ks
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
kde.local.test
Kernel density based local two-sample comparison test
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
kde.test
Kernel density based global two-sample comparison test
kda
Kernel discriminant analysis
kdde
Kernel density derivative estimate
pre.transform
Pre-sphering and pre-scaling
unicef
Unicef child mortality - life expectancy data
plot.kcde
Plot for kernel cumulative distribution estimate
Hscv
Smoothed cross-validation (SCV) bandwidth selector
plot.kde.loctest
Plot for kernel local significant difference regions
plot.kde
Plot for kernel density estimate
vector
Vector and vector half operators
contour
Contours functions
binning
Linear binning for multivariate data
kde.1d
Functions for univariate kernel density estimates
kde
Kernel density estimate
plot.kda
Plot for kernel discriminant analysis
plot.kdde
Plot for kernel density derivative estimate
kfe
Kernel functional estimate
Hpi
Plug-in bandwidth selector
Hns
Normal scale bandwidth
kroc
Kernel receiver operating characteristic (ROC) curve
plot.kroc
Plot for kernel receiver operating characteristic curve (ROC) estimate
plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.