High-Performance Open-Source Archive
Provides the hybrid Bayesian method Geometric Density Estimation. On the one hand, it scales the dimension of our data, on the other it performs inference. The method is fully described in the paper "Scalable Geometric Density Estimation" by Y. Wang, A. Canale, D. Dunson (2016) <http://proceedings.mlr.press/v51/wang16e.pdf>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.0.0), Rcpp (≥ 0.12.11), MASS (≥ 7.3-47), stats (≥ 3.4.1) |
| LinkingTo: | Rcpp |
| Published: | 2017-09-04 |
| DOI: | 10.32614/CRAN.package.RGeode |
| Author: | Lorenzo Rimella |
| Maintainer: | Lorenzo Rimella <lorenzo.rimella at hotmail.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | RGeode results |
| Reference manual: | RGeode.html , RGeode.pdf |
| Package source: | RGeode_0.1.0.tar.gz |
| Windows binaries: | r-devel: RGeode_0.1.0.zip, r-release: RGeode_0.1.0.zip, r-oldrel: RGeode_0.1.0.zip |
| macOS binaries: | r-release (arm64): RGeode_0.1.0.tgz, r-oldrel (arm64): RGeode_0.1.0.tgz, r-release (x86_64): RGeode_0.1.0.tgz, r-oldrel (x86_64): RGeode_0.1.0.tgz |
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