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: | 0.0.4 |
| Depends: | R (≥ 3.4) |
| Suggests: | covr, nlist, testthat |
| Published: | 2020-09-24 |
| Author: | Joe Thorley  [aut,
cre],
Kirill Müller
[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_0.0.4.tar.gz |
| Windows binaries: | r-devel: universals_0.0.4.zip, r-release: universals_0.0.4.zip, r-oldrel: universals_0.0.4.zip |
| macOS binaries: | r-release (arm64): universals_0.0.4.tgz, r-oldrel (arm64): universals_0.0.4.tgz, r-release (x86_64): universals_0.0.4.tgz, r-oldrel (x86_64): universals_0.0.4.tgz |
| Old sources: | universals archive |
Reverse dependencies:
| Reverse imports: | mcmcderive, mcmcr, nlist, ssdtools, term |
Linking:
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