Package: DEBBI 0.1.0

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.

Authors:Brendan Matthew Galdo [aut, cre]

DEBBI_0.1.0.tar.gz
DEBBI_0.1.0.zip(r-4.7)DEBBI_0.1.0.zip(r-4.6)DEBBI_0.1.0.zip(r-4.5)
DEBBI_0.1.0.tgz(r-4.6-any)DEBBI_0.1.0.tgz(r-4.5-any)
DEBBI_0.1.0.tar.gz(r-4.7-any)DEBBI_0.1.0.tar.gz(r-4.6-any)
DEBBI_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DEBBI/json (API)
NEWS

# Install 'DEBBI' in R:
install.packages('DEBBI', repos = c('https://bmgaldo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bmgaldo/debbi/issues

On CRAN:

Conda:

2.70 score 1 scripts 175 downloads 6 exports 7 dependencies

Last updated from:43be0289d3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK100
source / vignettesOK183
linux-release-x86_64OK129
macos-release-arm64OK98
macos-oldrel-arm64OK81
windows-develOK75
windows-releaseOK60
windows-oldrelOK66
wasm-releaseOK87

Exports:AlgoParamsDEMAPAlgoParamsDEMCMCAlgoParamsDEVIDEMAPDEMCMCDEVI

Dependencies:codetoolsdoParallelforeachiteratorsnumDerivrandtoolboxrngWELL

Readme and manuals

Help Manual

Help pageTopics
AlgoParamsDEMAPAlgoParamsDEMAP
AlgoParamsDEMCMCAlgoParamsDEMCMC
AlgoParamsDEVIAlgoParamsDEVI
DEMAPDEMAP
DEMCMCDEMCMC
DEVIDEVI