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 all the methods for its 'nlists' class.

Version: 0.0.2
Depends: R (≥ 3.3)
Suggests: covr, testthat
Published: 2020-06-11
Author: Joe Thorley ORCID iD [aut, cre], Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe at poissonconsulting.ca>
BugReports: https://github.com/poissonconsulting/universals/issues
License: MIT + file LICENSE
URL: https://github.com/poissonconsulting/universals
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: universals results

Downloads:

Reference manual: universals.pdf
Package source: universals_0.0.2.tar.gz
Windows binaries: r-devel: universals_0.0.2.zip, r-release: universals_0.0.2.zip, r-oldrel: universals_0.0.2.zip
macOS binaries: r-release: universals_0.0.2.tgz, r-oldrel: universals_0.0.2.tgz
Old sources: universals archive

Reverse dependencies:

Reverse imports: nlist, term

Linking:

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