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universals: S3 Generics for Bayesian Analyses

Provides S3 generic methods and some default implementations for Bayesian analyses that generate Markov Chain Monte Carlo (MCMC) samples. The purpose of 'universals' is to reduce package dependencies and conflicts. The 'nlist' package implements many of the methods for its 'nlist' class.

Version: 0.0.5
Depends: R (≥ 3.5)
Suggests: covr, nlist, testthat
Published: 2022-09-22
DOI: 10.32614/CRAN.package.universals
Author: Joe Thorley ORCID iD [aut, cre], Kirill Müller ORCID iD [ctb], Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe at poissonconsulting.ca>
BugReports: https://github.com/poissonconsulting/universals/issues
License: MIT + file LICENSE
URL: https://poissonconsulting.github.io/universals/, https://github.com/poissonconsulting/universals
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: universals results

Documentation:

Reference manual: universals.pdf

Downloads:

Package source: universals_0.0.5.tar.gz
Windows binaries: r-devel: universals_0.0.5.zip, r-release: universals_0.0.5.zip, r-oldrel: universals_0.0.5.zip
macOS binaries: r-release (arm64): universals_0.0.5.tgz, r-oldrel (arm64): universals_0.0.5.tgz, r-release (x86_64): universals_0.0.5.tgz, r-oldrel (x86_64): universals_0.0.5.tgz
Old sources: universals archive

Reverse dependencies:

Reverse imports: mcmcderive, mcmcr, nlist, ssdtools, term

Linking:

Please use the canonical form https://CRAN.R-project.org/package=universals 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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