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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.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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.