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ks (version 1.10.1)
Kernel Smoothing
Description
Kernel smoothers for univariate and multivariate data.
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.10.1
License
GPL-2 | GPL-3
Maintainer
Tarn Duong
Last Published
January 29th, 2016
Functions in ks (1.10.1)
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plot.kde.loctest
Plot for kernel local significant difference regions
Hpi
Plug-in bandwidth selector
ks-internal
Internal functions in the ks library
kfe
Kernel functional estimate
binning
Linear binning for multivariate data
plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.
kde.local.test
Kernel density based local two-sample comparison test
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
plot.kda
Plot for kernel discriminant analysis
vector
Vector and vector half operators
contour
Contours functions
plot.kdde
Plot for kernel density derivative estimate
Hscv
Smoothed cross-validation (SCV) bandwidth selector
unicef
Unicef child mortality - life expectancy data
plot.kcde
Plot for kernel cumulative distribution estimate
kde
Kernel density estimate
kroc
Kernel receiver operating characteristic (ROC) curve
plot.kroc
Plot for kernel receiver operating characteristic curve (ROC) estimate
kde.1d
Functions for univariate kernel density estimates
kde.test
Kernel density based global two-sample comparison test
kdde
Kernel density derivative estimate
pre.transform
Pre-sphering and pre-scaling
ks-package
ks
Hns
Normal scale bandwidth
kda
Kernel discriminant analysis
kcde
Kernel cumulative distribution/survival function estimate
kcopula
Kernel copula/copula density estimate
mixt
Normal and t-mixture distributions
ise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
plot.kde
Plot for kernel density estimate