kernelboot: Smoothed Bootstrap and Random Generation from Kernel Densities

Smoothed bootstrap and functions for random generation from univariate and multivariate kernel densities. It does not estimate kernel densities.

Version: 0.1.7
Depends: R (≥ 3.1.0)
Imports: Rcpp, future, future.apply
LinkingTo: Rcpp
Suggests: covr, testthat, ks, KernSmooth, cramer
Published: 2020-02-13
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+kernelboot at gmail.com>
BugReports: https://github.com/twolodzko/kernelboot/issues
License: GPL-2
URL: https://github.com/twolodzko/kernelboot
NeedsCompilation: yes
Materials: README
In views: Distributions
CRAN checks: kernelboot results

Downloads:

Reference manual: kernelboot.pdf
Package source: kernelboot_0.1.7.tar.gz
Windows binaries: r-devel: kernelboot_0.1.7.zip, r-release: kernelboot_0.1.7.zip, r-oldrel: kernelboot_0.1.7.zip
macOS binaries: r-release: kernelboot_0.1.7.tgz, r-oldrel: kernelboot_0.1.7.tgz
Old sources: kernelboot archive

Linking:

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