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 |
| 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 |
| macOS binaries: | r-release: adeba_1.1.2.tgz, r-oldrel: adeba_1.1.2.tgz |
| Old sources: | adeba archive |
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