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ks (version 1.10.7)
Kernel Smoothing
Description
Kernel smoothers for univariate and multivariate data, including density functions, density derivatives, cumulative distributions, modal clustering, discriminant analysis, significant modal regions and two-sample hypothesis testing.
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Install
install.packages('ks')
Monthly Downloads
34,666
Version
1.10.7
License
GPL-2 | GPL-3
Maintainer
Tarn Duong
Last Published
July 2nd, 2017
Functions in ks (1.10.7)
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contour
Contours functions
ise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
Hns
Normal scale bandwidth
Hpi
Plug-in bandwidth selector
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hscv
Smoothed cross-validation (SCV) bandwidth selector
binning
Linear binning for multivariate data
kcde
Kernel cumulative distribution/survival function estimate
kcopula
Kernel copula (density) estimate
kfe
Kernel functional estimate
kfs
Kernel feature significance
kda
Kernel discriminant analysis
kdde
Kernel density derivative estimate
mixt
Normal and t-mixture distributions
kms
Kernel mean shift clustering.
kroc
Kernel receiver operating characteristic (ROC) curve
plot.kda
Plot for kernel discriminant analysis
plot.kcde
Plot for kernel cumulative distribution estimate
plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.
pre.transform
Pre-sphering and pre-scaling
plot.kdde
Plot for kernel density derivative estimate
unicef
Unicef child mortality - life expectancy data
vector
Vector and vector half operators
kde.1d
Functions for univariate kernel density estimates
kde
Kernel density estimate
plot.kfs
Plot for kernel feature significance
plot.kroc
Plot for kernel receiver operating characteristic curve (ROC) estimate
kde.local.test
Kernel density based local two-sample comparison test
kde.test
Kernel density based global two-sample comparison test
ks-internal
Internal functions in the ks library
ks-package
ks
plot.kde
Plot for kernel density estimate
plot.kde.loctest
Plot for kernel local significant difference regions