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ks (version 1.8.13)
Kernel smoothing
Description
Kernel smoothers for univariate and multivariate data
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Install
install.packages('ks')
Monthly Downloads
37,236
Version
1.8.13
License
GPL-2 | GPL-3
Maintainer
Tarn Duong
Last Published
July 5th, 2013
Functions in ks (1.8.13)
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kde.local.test
Kernel density based local two-sample comparison test
Hns
Normal scale bandwidth
ks-internal
Internal functions in the ks library
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
kcopula
Kernel copula/copula density estimate
ise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
kcde
Kernel cumulative distribution/survival function estimate for multivariate data
Hscv
Smoothed cross-validation (SCV) bandwidth selector
kde.1d
Functions for univariate kernel density estimates
kda
Kernel discriminant analysis for multivariate data
kde.test
Kernel density based global two-sample comparison test
ks-package
ks
contour
Contours functions
plot.kcde
Plot for kernel cumulative distribution estimate
pre.transform
Pre-sphering and pre-scaling
vector
Vector and vector half operators
kdde
Kernel density derivative estimate for multivariate data
binning
Linear binning for multivariate data
unicef
Unicef child mortality - life expectancy data
plot.kdde
Plot for kernel density derivative estimate
plot.kde
Plot for kernel density estimate
kde
Kernel density estimate for multivariate data
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
kroc
Kernel receiver operating characteristic (ROC) curve
plot.kde.loctest
Plot for kernel local significant difference regions
plot.kroc
Plot for kernel receiver operating characteristic curve (ROC) estimate
plot.kda
Plot for kernel discriminant analysis
Hpi
Plug-in bandwidth selector
mixt
Normal and t-mixture distributions
plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.