adeba: Adaptive Density Estimation by Bayesian Averaging

Univariate and multivariate non-parametric kernel density estimation with adaptive bandwidth using a Bayesian approach to Abramson's square root law.

Version: 1.1.2
Imports: graphics, mixtools, pdist, Rcpp (≥ 0.11.6), stats
LinkingTo: Rcpp
Suggests: parallel, testthat
Published: 2018-03-03
Author: Christofer Backlin, Mats Gustafsson
Maintainer: Christofer Backlin <adeba at christofer.backlin.se>
BugReports: https://github.com/backlin/adeba/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/backlin/adeba
NeedsCompilation: yes
Citation: adeba citation info
CRAN checks: adeba results

Downloads:

Reference manual: adeba.pdf
Package source: adeba_1.1.2.tar.gz
Windows binaries: r-devel: adeba_1.1.2.zip, r-release: adeba_1.1.2.zip, r-oldrel: adeba_1.1.2.zip
OS X binaries: r-release: adeba_1.1.2.tgz, r-oldrel: adeba_1.1.2.tgz
Old sources: adeba archive

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