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 ORCID iD [aut, cre]
Maintainer: Brendan Matthew Galdo <Brendan.m.galdo at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: DEBBI results


Reference manual: DEBBI.pdf


Package source: DEBBI_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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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