Package: ks 1.15.2

ks: Kernel Smoothing

Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.

Authors:Tarn Duong [aut, cre], Matt Wand [ctb], Jose Chacon [ctb], Artur Gramacki [ctb]

ks_1.15.2.tar.gz
ks_1.15.2.zip(r-4.7)ks_1.15.2.zip(r-4.6)ks_1.15.2.zip(r-4.5)
ks_1.15.2.tgz(r-4.6-x86_64)ks_1.15.2.tgz(r-4.6-arm64)ks_1.15.2.tgz(r-4.5-x86_64)ks_1.15.2.tgz(r-4.5-arm64)
ks_1.15.2.tar.gz(r-4.7-arm64)ks_1.15.2.tar.gz(r-4.7-x86_64)ks_1.15.2.tar.gz(r-4.6-arm64)ks_1.15.2.tar.gz(r-4.6-x86_64)
ks_1.15.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ks/json (API)

# Install 'ks' in R:

install.packages('ks', repos = c('https://tarnduong.r-universe.dev', 'https://cloud.r-project.org'))

Pkgdown/docs site:https://mvstat.net

Datasets:

air - Air quality measurements in an underground train station
cardio - Foetal cardiotocograms
grevillea - Geographical locations of grevillea plants
hsct - Haematopoietic stem cell transplant
plate - Geographical locations of earthquakes and tectonic plates
platesf - Geographical locations of earthquakes and tectonic plates
quake - Geographical locations of earthquakes and tectonic plates
quakesf - Geographical locations of earthquakes and tectonic plates
tempb - Daily temperature
unicef - Unicef child mortality - life expectancy data
worldbank - Development indicators from the World Bank Group

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

11.64 score 10 stars 286 packages 1.3k scripts 78k downloads 45 mentions 112 exports 12 dependencies

Last updated from:45bc4e2f7e. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	167
linux-devel-x86_64	OK	188
source / vignettes	OK	219
linux-release-arm64	OK	168
linux-release-x86_64	OK	185
macos-release-arm64	OK	139
macos-release-x86_64	OK	243
macos-oldrel-arm64	OK	129
macos-oldrel-x86_64	OK	331
windows-devel	OK	157
windows-release	OK	166
windows-oldrel	OK	140
wasm-release	OK	139

Exports:.contourBreaks amise.mixt as.kde binning block.indices col.diverging compare compare.kda.cv compare.kda.diag.cv contourBreaks contourLevels contourProbs contourSizes dckde dkde dmvnorm.mixt dmvt.mixt dnorm.mixt dwsupp getRow hamise.mixt Hamise.mixt Hamise.mixt.diag Hbcv Hbcv.diag histde hkda Hkda Hkda.diag hlscv Hlscv Hlscv.diag hmise.mixt Hmise.mixt Hmise.mixt.diag hnm Hnm Hnm.diag hns Hns Hns.diag hns.kcde Hns.kcde hpi Hpi Hpi.diag Hpi.diag.kcde Hpi.diag.kfe hpi.kcde Hpi.kcde hpi.kfe Hpi.kfe hscv Hscv Hscv.diag hucv Hucv Hucv.diag invvec invvech ise.mixt kcde kcopula kcopula.de kcurv kda kdcde kdde kdde.truncate kde kde.balloon kde.boundary kde.local.test kde.sp kde.test kde.truncate kdr kdr.segment kfe kfs kms kms.part kroc ksupp Lpdiff matrix.sqrt mise.mixt mur mvnorm.mixt.mode mvnorm.mixt.part now_time now.time nur nurs pkde plotmixt pre.scale pre.sphere qkde Qr reg.ucv rkde rmvnorm.mixt rmvt.mixt rnorm.mixt rowKpow Sdr Sdrv symconv.1d symconv.nd vec vech

Dependencies:FNN kernlab KernSmooth lattice Matrix mclust mgcv multicool mvtnorm nlme pracma Rcpp

ks: Kernel density estimation for bivariate data

Introduction | Bivariate data example | References

Rendered fromks.Rmdusingknitr::rmarkdown

Last update: 2026-05-09
Started: 2026-05-09

Citation

Readme and manuals

Help Manual

Help page	Topics
ks	ks-package ks
Air quality measurements in an underground train station	air
Quasi kernel density estimate	as.kde
Linear binning for multivariate data	binning
Foetal cardiotocograms	cardio
Contour functions	.contourBreaks contourBreaks contourLevels contourLevels.kda contourLevels.kdde contourLevels.kde contourProbs contourSizes
Geographical locations of grevillea plants	grevillea
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data	Hbcv Hbcv.diag
Histogram density estimate	histde predict.histde
Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data	Hlscv hlscv Hlscv.diag Hucv hucv Hucv.diag
Normal mixture bandwidth	Hnm hnm Hnm.diag
Normal scale bandwidth	Hns hns Hns.diag Hns.kcde hns.kcde
Plug-in bandwidth selector	Hpi hpi Hpi.diag
Haematopoietic stem cell transplant	hsct
Smoothed cross-validation (SCV) bandwidth selector	Hscv hscv Hscv.diag
Squared error bandwidth matrix selectors for normal mixture densities	amise.mixt Hamise.mixt hamise.mixt Hamise.mixt.diag Hmise.mixt hmise.mixt Hmise.mixt.diag ise.mixt mise.mixt
Kernel cumulative distribution/survival function estimate	Hpi.diag.kcde Hpi.kcde hpi.kcde kcde predict.kcde
Kernel copula (density) estimate	kcopula kcopula.de
Kernel discriminant analysis (kernel classification)	compare compare.kda.cv compare.kda.diag.cv Hkda hkda Hkda.diag kda predict.kda
Deconvolution kernel density derivative estimate	dckde kdcde
Kernel density derivative estimate	kcurv kdde predict.kdde
Kernel density estimate	kde predict.kde
Kernel density estimate for bounded data	kde.boundary
Kernel density based local two-sample comparison test	kde.local.test
Kernel density based global two-sample comparison test	kde.test
Truncated kernel density derivative estimate	kdde.truncate kde.truncate
Kernel density ridge estimation	kdr kdr.segment plot.kdr
Kernel functional estimate	Hpi.diag.kfe Hpi.kfe hpi.kfe kfe
Kernel feature significance	kfs
Kernel mean shift clustering	kms plot.kms summary.kms
Kernel receiver operating characteristic (ROC) curve	kroc predict.kroc summary.kroc
Kernel support estimate	ksupp plot.ksupp
Normal and t-mixture distributions	dmvnorm.mixt dmvt.mixt dnorm.mixt mvnorm.mixt.mode rmvnorm.mixt rmvt.mixt rnorm.mixt
Plot for histogram density estimate	plot.histde
Plot for kernel cumulative distribution estimate	plot.kcde
Plot for kernel discriminant analysis	plot.kda
Plot for kernel density derivative estimate	plot.kdde
Plot for kernel density estimate	plot.kde
Plot for kernel local significant difference regions	plot.kde.loctest
Partition plot for kernel density clustering	kms.part mvnorm.mixt.part plot.kde.part
Plot for kernel feature significance	plot.kfs
Plot for kernel receiver operating characteristic curve (ROC) estimate	plot.kroc
Plot for 1- to 3-dimensional normal and t-mixture density functions	plotmixt
Pre-sphering and pre-scaling	pre.scale pre.sphere
Geographical locations of earthquakes and tectonic plates	plate platesf quake quakesf
Derived quantities from kernel density estimates	dkde pkde qkde rkde
Daily temperature	tempb
Unicef child mortality - life expectancy data	unicef
Vector and vector half operators	invvec invvech vec vech
Variable kernel density estimate.	kde.balloon kde.sp
Development indicators from the World Bank Group	worldbank

Package: ks 1.15.2

ks: Kernel Smoothing

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)