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

Downloads:

Reference manual: baggedcv.pdf
Package source: baggedcv_1.0.tar.gz
Windows binaries: r-devel: baggedcv_1.0.zip, r-devel-gcc8: baggedcv_1.0.zip, r-release: baggedcv_1.0.zip, r-oldrel: baggedcv_1.0.zip
OS X binaries: r-release: baggedcv_1.0.tgz, r-oldrel: baggedcv_1.0.tgz

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