DEBBI: Differential Evolution-Based Bayesian Inference
Bayesian inference algorithms based on the population-based "differential evolution" (DE) algorithm. Users can obtain posterior mode (MAP) estimates via DEMAP, posterior samples via DEMCMC, and variational approximations via DEVI.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, doParallel, randtoolbox, numDeriv |
| Published: | 2022-05-17 |
| DOI: | 10.32614/CRAN.package.DEBBI |
| Author: | Brendan Matthew Galdo
 [aut, cre] |
| Maintainer: | Brendan Matthew Galdo <Brendan.m.galdo at gmail.com> |
| BugReports: | https://github.com/bmgaldo/DEBBI |
| License: | MIT + file LICENSE |
| URL: | https://github.com/bmgaldo/DEBBI |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | DEBBI results |
Documentation:
| Reference manual: | DEBBI.pdf |
Downloads:
| Package source: | DEBBI_0.1.0.tar.gz |
| Windows binaries: | r-devel: DEBBI_0.1.0.zip, r-release: DEBBI_0.1.0.zip, r-oldrel: DEBBI_0.1.0.zip |
| macOS binaries: | r-release (arm64): DEBBI_0.1.0.tgz, r-oldrel (arm64): DEBBI_0.1.0.tgz, r-release (x86_64): DEBBI_0.1.0.tgz, r-oldrel (x86_64): DEBBI_0.1.0.tgz |
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