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


Reference manual: universals.pdf


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


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