md: Selecting Bandwidth for Kernel Density Estimator with Minimum Distance Method

Selects bandwidth for the kernel density estimator with minimum distance method as proposed by Devroye and Lugosi (1996). The minimum distance method directly selects the optimal kernel density estimator from countably infinite kernel density estimators and indirectly selects the optimal bandwidth. This package selects the optimal bandwidth from finite kernel density estimators.

Version:	1.0.4
Published:	2016-02-21
Author:	Genzo Kaga
Maintainer:	Genzo Kaga <genzo.k-1321 at ruri.waseda.jp>
License:	GPL-2 | GPL-3
NeedsCompilation:	no
CRAN checks:	md results

Documentation:

Reference manual:

md.pdf

Downloads:

Package source:	md_1.0.4.tar.gz
Windows binaries:	r-devel: md_1.0.4.zip, r-release: md_1.0.4.zip, r-oldrel: md_1.0.4.zip
macOS binaries:	r-release (arm64): md_1.0.4.tgz, r-oldrel (arm64): md_1.0.4.tgz, r-release (x86_64): md_1.0.4.tgz, r-oldrel (x86_64): md_1.0.4.tgz

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