Package: rjuliabugs 0.1.0

rjuliabugs: Interface to 'JuliaBUGS.jl' from R

Provides an R interface to the 'JuliaBUGS.jl' package (https://github.com/TuringLang/JuliaBUGS.jl) for Bayesian inference using the BUGS modeling language. Allows R users to run models in Julia and return results as familiar R objects. Visualization and posterior analysis are supported via the 'bayesplot' and 'posterior' packages.

Authors:Mateus Maia [aut, cre], Xianda Sun [aut], Robert Goudie [aut]

rjuliabugs_0.1.0.tar.gz
rjuliabugs_0.1.0.zip(r-4.7-any)rjuliabugs_0.1.0.zip(r-4.6-any)rjuliabugs_0.1.0.zip(r-4.5-any)
rjuliabugs_0.1.0.tgz(r-4.6-any)rjuliabugs_0.1.0.tgz(r-4.5-any)
rjuliabugs_0.1.0.tar.gz(r-4.7-any)rjuliabugs_0.1.0.tar.gz(r-4.6-any)
rjuliabugs_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rjuliabugs/json (API)

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

Bug tracker:https://github.com/mateusmaiads/rjuliabugs/issues

Pkgdown/docs site:https://mateusmaiads.github.io

On CRAN:

Conda:

3.48 score 3 stars 6 scripts 292 downloads 13 exports 29 dependencies

Last updated from:f6fff5c3d6. Checks:4 WARNING, 4 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING150
source / vignettesERROR210
linux-releaseWARNING127
macos-releaseWARNING127
macos-oldrelWARNING118
windows-develERROR693
windows-releaseERROR661
windows-oldrelERROR574
wasm-releaseOK129

Exports:as_drawsas_mcmcas_rvarbugs2juliaBUGSconvert_numeric_typesdelete_julia_objextractjulia_assign_intjuliaBUGSload_rjuliabugssave_rjuliabugssetup_juliaBUGSwrap_model_to_juliaBUGS

Dependencies:abindbackportscheckmateclicodadistributionalevaluategenericsgluehighrJuliaCallknitrlatticelifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigposteriorRcpprjsonrlangtensorAtibbleutf8vctrsxfunyaml