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ks (version 1.10.2)
Kernel Smoothing
Description
Kernel smoothers for univariate and multivariate data.
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.10.2
License
GPL-2 | GPL-3
Maintainer
Tarn Duong
Last Published
March 3rd, 2016
Functions in ks (1.10.2)
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kcopula
Kernel copula/copula density estimate
vector
Vector and vector half operators
Hns
Normal scale bandwidth
Hscv
Smoothed cross-validation (SCV) bandwidth selector
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
ks-package
ks
kde.local.test
Kernel density based local two-sample comparison test
kfe
Kernel functional estimate
kde.test
Kernel density based global two-sample comparison test
plot.kdde
Plot for kernel density derivative estimate
kdde
Kernel density derivative estimate
pre.transform
Pre-sphering and pre-scaling
kcde
Kernel cumulative distribution/survival function estimate
unicef
Unicef child mortality - life expectancy data
kde
Kernel density estimate
kda
Kernel discriminant analysis
plot.kde
Plot for kernel density estimate
ks-internal
Internal functions in the ks library
kde.1d
Functions for univariate kernel density estimates
contour
Contours functions
plot.kda
Plot for kernel discriminant analysis
plot.kde.loctest
Plot for kernel local significant difference regions
kroc
Kernel receiver operating characteristic (ROC) curve
mixt
Normal and t-mixture distributions
binning
Linear binning for multivariate data
Hpi
Plug-in bandwidth selector
ise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.
plot.kcde
Plot for kernel cumulative distribution estimate
plot.kroc
Plot for kernel receiver operating characteristic curve (ROC) estimate
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data