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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 |
| DOI: | 10.32614/CRAN.package.md |
| Author: | Genzo Kaga |
| Maintainer: | Genzo Kaga <genzo.k-1321 at ruri.waseda.jp> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | md results |
| Reference manual: | md.pdf |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.