RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (1.10.7) of this package.
Take me there.
ks (version 1.2.1)
Kernel smoothing
Description
Bandwidth matrices for kernel density estimators and kernel discriminant analysis for bivariate data
Copy Link
Copy
Link to current version
Version
Version
1.10.7
1.10.6
1.10.5
1.10.4
1.10.3
1.10.2
1.10.1
1.10.0
1.9.5
1.9.4
1.9.3
1.9.2
1.9.1
1.9.0
1.8.13
1.8.12
1.8.11
1.8.10
1.8.9
1.8.8
1.8.7
1.8.6
1.8.5
1.8.4
1.8.3
1.8.2
1.8.1
1.8.0
1.7.4
1.7.3
1.7.2
1.7.1
1.7.0
1.6.13
1.6.12
1.6.11
1.6.10
1.6.9
1.6.8
1.6.7
1.6.6
1.6.5
1.6.3
1.6.2
1.6.1
1.6.0
1.5.11
1.5.10
1.5.9
1.5.8
1.5.7
1.5.6
1.5.5
1.5.4
1.5.3
1.5.2
1.5.1
1.5.0
1.4.12
1.4.11
1.4.10
1.4.9
1.4.8
1.4.7
1.4.6
1.4.5
1.4.4
1.4.3
1.4.2
1.4.1
1.4.0
1.3.5
1.3.4
1.3.3
1.3.2
1.3.1
1.2.1
Down Chevron
Install
install.packages('ks')
Monthly Downloads
35,772
Version
1.2.1
License
GPL (version 2)
Maintainer
Tarn Duong
Last Published
March 6th, 2005
Functions in ks (1.2.1)
Search functions
unicef
Unicef child mortality - life expectancy data
plot.dade
Density estimates and partition plot for discriminant analysis for bivariate data
rmvnorm.mixt, dmvnorm.mixt
Multivariate normal mixture distribution
pre.sphere, pre.scale
Pre-sphering and pre-scaling
kda.kde, pda.pde
Density estimates for kernel and parametric discriminant analysis
kde
Kernel density estimate for bivariate data
Hlscv
Least-squares cross-validation (LSCV) bandwidth matrix selector for bivariate data
ks-internal
Internal functions in the ks library
rmvt.mixt, dmvt.mixt
Multivariate t mixture distribution
Hscv
Smoothed cross-validation (SCV) bandwidth matrix selector for bivariate data
Hbcv, Hbcv.diag
Biased cross-validation (BCV) bandwidth matrix selector for bivariate data
Hkda, Hkda.diag
Bandwidth matrix selectors for kernel discriminant analysis for bivariate data
Hmise.mixt, Hamise.mixt
MISE- and AMISE-optimal bandwidth matrix selectors for normal mixture densities
ise, mise, amise
ISE, MISE and AMISE of kernel density estimates for normal and t mixture densities
kda, pda, compare
Kernel and parametric discriminant analysis
plot.kde
Kernel density estimate plot for bivariate data
Hpi, Hpi.diag
Plug-in bandwidth matrix selector for bivariate data