universals: S3 Generics for Bayesian Analyses (original) (raw)

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
BugReports: https://github.com/poissonconsulting/universals/issues
License: MIT + file
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:

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