baggedcv: Bagged Cross-Validation for Kernel Density Bandwidth Selection

Bagged cross-validation for bandwidth selection in kernel density estimation (Hall and Marron (1987) <doi:10.1007/BF00363516>). This bandwidth selector can achieve greater statistical precision than standard cross-validation while being computationally fast.

Version:	1.0
Imports:	parallel, foreach, doParallel, mclust, kedd, stats
Published:	2019-07-26
Author:	Daniel Barreiro Ures, Jeffrey D. Hart, Ricardo Cao, Mario Francisco-Fernandez
Maintainer:	Daniel Barreiro Ures <daniel.barreiro.ures at udc.es>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	baggedcv results

Documentation:

Reference manual:

baggedcv.pdf

Downloads:

Package source:	baggedcv_1.0.tar.gz
Windows binaries:	r-devel: baggedcv_1.0.zip, r-release: baggedcv_1.0.zip, r-oldrel: baggedcv_1.0.zip
macOS binaries:	r-release (arm64): baggedcv_1.0.tgz, r-oldrel (arm64): baggedcv_1.0.tgz, r-release (x86_64): baggedcv_1.0.tgz, r-oldrel (x86_64): baggedcv_1.0.tgz

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