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ks (version 1.10.3)
Kernel Smoothing
Description
Kernel smoothers for univariate and multivariate data.
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Install
install.packages('ks')
Monthly Downloads
35,772
Version
1.10.3
License
GPL-2 | GPL-3
Maintainer
Tarn Duong
Last Published
April 4th, 2016
Functions in ks (1.10.3)
Search functions
binning
Linear binning for multivariate data
kroc
Kernel receiver operating characteristic (ROC) curve
kde.1d
Functions for univariate kernel density estimates
contour
Contours functions
Hscv
Smoothed cross-validation (SCV) bandwidth selector
kda
Kernel discriminant analysis
ise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
kcopula
Kernel copula/copula density estimate
plot.kdde
Plot for kernel density derivative estimate
plot.kroc
Plot for kernel receiver operating characteristic curve (ROC) estimate
Hpi
Plug-in bandwidth selector
ks-internal
Internal functions in the ks library
ks-package
ks
unicef
Unicef child mortality - life expectancy data
plot.kda
Plot for kernel discriminant analysis
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hns
Normal scale bandwidth
plot.kcde
Plot for kernel cumulative distribution estimate
vector
Vector and vector half operators
plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.
pre.transform
Pre-sphering and pre-scaling
plot.kde.loctest
Plot for kernel local significant difference regions
kdde
Kernel density derivative estimate
kde.local.test
Kernel density based local two-sample comparison test
plot.kde
Plot for kernel density estimate
kcde
Kernel cumulative distribution/survival function estimate
kde
Kernel density estimate
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
kde.test
Kernel density based global two-sample comparison test
kfe
Kernel functional estimate
mixt
Normal and t-mixture distributions