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ks (version 1.10.0)
Kernel Smoothing
Description
Kernel smoothers for univariate and multivariate data.
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Install
install.packages('ks')
Monthly Downloads
35,772
Version
1.10.0
License
GPL-2 | GPL-3
Maintainer
Tarn Duong
Last Published
October 22nd, 2015
Functions in ks (1.10.0)
Search functions
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
contour
Contours functions
plot.kroc
Plot for kernel receiver operating characteristic curve (ROC) estimate
plot.kda
Plot for kernel discriminant analysis
ise.mixt
Squared error bandwidth matrix selectors for normal mixture densities
Hbcv
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
kde
Kernel density estimate
kdde
Kernel density derivative estimate
mixt
Normal and t-mixture distributions
kde.1d
Functions for univariate kernel density estimates
kcopula
Kernel copula/copula density estimate
kde.test
Kernel density based global two-sample comparison test
kde.local.test
Kernel density based local two-sample comparison test
plot.kdde
Plot for kernel density derivative estimate
kroc
Kernel receiver operating characteristic (ROC) curve
kcde
Kernel cumulative distribution/survival function estimate
kda
Kernel discriminant analysis
Hscv
Smoothed cross-validation (SCV) bandwidth selector
plot.kde.loctest
Plot for kernel local significant difference regions
ks-package
ks
pre.transform
Pre-sphering and pre-scaling
ks-internal
Internal functions in the ks library
unicef
Unicef child mortality - life expectancy data
Hns
Normal scale bandwidth
plot.kcde
Plot for kernel cumulative distribution estimate
plot.kde
Plot for kernel density estimate
vector
Vector and vector half operators
plotmixt
Plot for 1- to 3-dimensional normal and t-mixture density functions.
kfe
Kernel functional estimate
binning
Linear binning for multivariate data
Hpi
Plug-in bandwidth selector