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ks (version 1.10.3)
Kernel Smoothing
Description
Kernel smoothers for univariate and multivariate data.
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.10.3
License
GPL-2 | GPL-3
Maintainer
Tarn Duong
Last Published
April 4th, 2016
Functions in ks (1.10.3)
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binning
Linear binning for multivariate data
kroc
Kernel receiver operating characteristic (ROC) curve
kde.1d
Functions for univariate kernel density estimates
contour
Contours functions
Hscv
Smoothed cross-validation (SCV) bandwidth selector
kda
Kernel discriminant analysis
ise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
kcopula
Kernel copula/copula density estimate
plot.kdde
Plot for kernel density derivative estimate
plot.kroc
Plot for kernel receiver operating characteristic curve (ROC) estimate
Hpi
Plug-in bandwidth selector
ks-internal
Internal functions in the ks library
ks-package
ks
unicef
Unicef child mortality - life expectancy data
plot.kda
Plot for kernel discriminant analysis
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hns
Normal scale bandwidth
plot.kcde
Plot for kernel cumulative distribution estimate
vector
Vector and vector half operators
plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.
pre.transform
Pre-sphering and pre-scaling
plot.kde.loctest
Plot for kernel local significant difference regions
kdde
Kernel density derivative estimate
kde.local.test
Kernel density based local two-sample comparison test
plot.kde
Plot for kernel density estimate
kcde
Kernel cumulative distribution/survival function estimate
kde
Kernel density estimate
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
kde.test
Kernel density based global two-sample comparison test
kfe
Kernel functional estimate
mixt
Normal and t-mixture distributions