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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 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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DEBBI to link to this page.

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.
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