R: Kernel Smoothing

# Kernel Smoothing

## Documentation for package ‘ks’ version 1.15.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

A B C D G H I K M P Q R S T U V W misc

ks-package | ks

## -- A --

air | Air quality measurements in an underground train station
amise.mixt | Squared error bandwidth matrix selectors for normal mixture densities
as.kde | Quasi kernel density estimate

## -- B --

binning | Linear binning for multivariate data

## -- C --

cardio | Foetal cardiotocograms
compare | Kernel discriminant analysis (kernel classification)
compare.kda.cv | Kernel discriminant analysis (kernel classification)
compare.kda.diag.cv | Kernel discriminant analysis (kernel classification)
contourBreaks | Contour functions
contourLevels | Contour functions
contourLevels.kda | Contour functions
contourLevels.kdde | Contour functions
contourLevels.kde | Contour functions
contourProbs | Contour functions
contourSizes | Contour functions

## -- D --

dckde | Deconvolution kernel density derivative estimate
dkde | Derived quantities from kernel density estimates
dmvnorm.mixt | Normal and t-mixture distributions
dmvt.mixt | Normal and t-mixture distributions
dnorm.mixt | Normal and t-mixture distributions

## -- G --

grevillea | Geographical locations of grevillea plants

## -- H --

Hamise.mixt | Squared error bandwidth matrix selectors for normal mixture densities
hamise.mixt | Squared error bandwidth matrix selectors for normal mixture densities
Hamise.mixt.diag | Squared error bandwidth matrix selectors for normal mixture densities
Hbcv | Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
Hbcv.diag | Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
histde | Histogram density estimate
Hkda | Kernel discriminant analysis (kernel classification)
hkda | Kernel discriminant analysis (kernel classification)
Hkda.diag | Kernel discriminant analysis (kernel classification)
Hlscv | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
hlscv | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hlscv.diag | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hmise.mixt | Squared error bandwidth matrix selectors for normal mixture densities
hmise.mixt | Squared error bandwidth matrix selectors for normal mixture densities
Hmise.mixt.diag | Squared error bandwidth matrix selectors for normal mixture densities
Hnm | Normal mixture bandwidth
hnm | Normal mixture bandwidth
Hnm.diag | Normal mixture bandwidth
Hns | Normal scale bandwidth
hns | Normal scale bandwidth
Hns.diag | Normal scale bandwidth
Hns.kcde | Normal scale bandwidth
hns.kcde | Normal scale bandwidth
Hpi | Plug-in bandwidth selector
hpi | Plug-in bandwidth selector
Hpi.diag | Plug-in bandwidth selector
Hpi.diag.kcde | Kernel cumulative distribution/survival function estimate
Hpi.diag.kfe | Kernel functional estimate
Hpi.kcde | Kernel cumulative distribution/survival function estimate
hpi.kcde | Kernel cumulative distribution/survival function estimate
Hpi.kfe | Kernel functional estimate
hpi.kfe | Kernel functional estimate
hsct | Haematopoietic stem cell transplant
Hscv | Smoothed cross-validation (SCV) bandwidth selector
hscv | Smoothed cross-validation (SCV) bandwidth selector
Hscv.diag | Smoothed cross-validation (SCV) bandwidth selector
Hucv | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
hucv | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data
Hucv.diag | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data

## -- I --

invvec | Vector and vector half operators
invvech | Vector and vector half operators
ise.mixt | Squared error bandwidth matrix selectors for normal mixture densities

## -- K --

kcde | Kernel cumulative distribution/survival function estimate
kcopula | Kernel copula (density) estimate
kcopula.de | Kernel copula (density) estimate
kcurv | Kernel density derivative estimate
kda | Kernel discriminant analysis (kernel classification)
kdcde | Deconvolution kernel density derivative estimate
kdde | Kernel density derivative estimate
kdde.truncate | Truncated kernel density derivative estimate
kde | Kernel density estimate
kde.balloon | Variable kernel density estimate.
kde.boundary | Kernel density estimate for bounded data
kde.local.test | Kernel density based local two-sample comparison test
kde.sp | Variable kernel density estimate.
kde.test | Kernel density based global two-sample comparison test
kde.truncate | Truncated kernel density derivative estimate
kdr | Kernel density ridge estimation
kdr.segment | Kernel density ridge estimation
kfe | Kernel functional estimate
kfs | Kernel feature significance
kms | Kernel mean shift clustering
kms.part | Partition plot for kernel density clustering
kroc | Kernel receiver operating characteristic (ROC) curve
ks | ks
ksupp | Kernel support estimate

## -- M --

mise.mixt | Squared error bandwidth matrix selectors for normal mixture densities
mvnorm.mixt.mode | Normal and t-mixture distributions
mvnorm.mixt.part | Partition plot for kernel density clustering

## -- P --

pkde | Derived quantities from kernel density estimates
plate | Geographical locations of earthquakes and tectonic plates
platesf | Geographical locations of earthquakes and tectonic plates
plot.histde | Plot for histogram density estimate
plot.kcde | Plot for kernel cumulative distribution estimate
plot.kda | Plot for kernel discriminant analysis
plot.kdde | Plot for kernel density derivative estimate
plot.kde | Plot for kernel density estimate
plot.kde.loctest | Plot for kernel local significant difference regions
plot.kde.part | Partition plot for kernel density clustering
plot.kdr | Kernel density ridge estimation
plot.kfs | Plot for kernel feature significance
plot.kms | Kernel mean shift clustering
plot.kroc | Plot for kernel receiver operating characteristic curve (ROC) estimate
plot.ksupp | Kernel support estimate
plotmixt | Plot for 1- to 3-dimensional normal and t-mixture density functions
pre.scale | Pre-sphering and pre-scaling
pre.sphere | Pre-sphering and pre-scaling
predict.histde | Histogram density estimate
predict.kcde | Kernel cumulative distribution/survival function estimate
predict.kda | Kernel discriminant analysis (kernel classification)
predict.kdde | Kernel density derivative estimate
predict.kde | Kernel density estimate
predict.kroc | Kernel receiver operating characteristic (ROC) curve

## -- Q --

qkde | Derived quantities from kernel density estimates
quake | Geographical locations of earthquakes and tectonic plates
quakesf | Geographical locations of earthquakes and tectonic plates

## -- R --

rkde | Derived quantities from kernel density estimates
rmvnorm.mixt | Normal and t-mixture distributions
rmvt.mixt | Normal and t-mixture distributions
rnorm.mixt | Normal and t-mixture distributions

## -- S --

summary.kms | Kernel mean shift clustering
summary.kroc | Kernel receiver operating characteristic (ROC) curve

## -- T --

tempb | Daily temperature

## -- U --

unicef | Unicef child mortality - life expectancy data

## -- V --

vec | Vector and vector half operators
vech | Vector and vector half operators

## -- W --

worldbank | Development indicators from the World Bank Group

## -- misc --

.contourBreaks | Contour functions