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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
|
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 |
Reference manual: | DEBBI.pdf |
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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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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