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ks (version 1.9.5)
Kernel Smoothing
Description
Kernel smoothers for univariate and multivariate data.
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Install
install.packages('ks')
Monthly Downloads
36,515
Version
1.9.5
License
GPL-2 | GPL-3
Maintainer
Tarn Duong
Last Published
October 7th, 2015
Functions in ks (1.9.5)
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kcde
Kernel cumulative distribution/survival function estimate
kde
Kernel density estimate
plot.kda
Plot for kernel discriminant analysis
ise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
unicef
Unicef child mortality - life expectancy data
plot.kde.loctest
Plot for kernel local significant difference regions
kfe
Kernel functional estimate
kde.local.test
Kernel density based local two-sample comparison test
kdde
Kernel density derivative estimate
kcopula
Kernel copula/copula density estimate
kde.1d
Functions for univariate kernel density estimates
Hns
Normal scale bandwidth
mixt
Normal and t-mixture distributions
ks-package
ks
vector
Vector and vector half operators
plot.kroc
Plot for kernel receiver operating characteristic curve (ROC) estimate
plot.kcde
Plot for kernel cumulative distribution estimate
plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.
kda
Kernel discriminant analysis
plot.kde
Plot for kernel density estimate
Hpi
Plug-in bandwidth selector
contour
Contours functions
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
plot.kdde
Plot for kernel density derivative estimate
kde.test
Kernel density based global two-sample comparison test
pre.transform
Pre-sphering and pre-scaling
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
binning
Linear binning for multivariate data
ks-internal
Internal functions in the ks library
Hscv
Smoothed cross-validation (SCV) bandwidth selector
kroc
Kernel receiver operating characteristic (ROC) curve