{"Package":"universals","Title":"S3 Generics for Bayesian Analyses","Version":"0.0.3","Authors@R":"\nc(person(given = \"Joe\",\nfamily = \"Thorley\",\nrole = c(\"aut\", \"cre\"),\nemail = \"joe@poissonconsulting.ca\",\ncomment = c(ORCID = \"0000-0002-7683-4592\")),\nperson(given = \"Kirill\",\nfamily = \"Mller\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0002-1416-3412\")),\nperson(given = \"Poisson Consulting\",\nrole = c(\"cph\", \"fnd\")))","Description":"Provides S3 generic methods and some default implementations\nfor Bayesian analyses that generate Markov Chain Monte Carlo (MCMC) samples.\nThe purpose of 'universals' is to reduce package dependencies and conflicts.\nThe 'nlist' package implements many of the methods for its 'nlist' class.","License":"MIT + file LICENSE","URL":"https://github.com/poissonconsulting/universals","BugReports":"https://github.com/poissonconsulting/universals/issues","Depends":"R (>= 3.4)","Suggests":"covr, nlist, testthat","Encoding":"UTF-8","Language":"en-US","LazyData":"true","RoxygenNote":"7.1.1.9000","NeedsCompilation":"no","Packaged":"2020-07-08 00:54:09 UTC; joe","Author":"Joe Thorley [aut, cre] (),\nKirill Mller [ctb] (),\nPoisson Consulting [cph, fnd]","Maintainer":"Joe Thorley ","Repository":"CRAN","Date/Publication":"2020-07-08 06:20:06 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/universals_0.0.3.tar.gz","jsonAuthors":[{"name":"Joe Thorley","email":"joe@poissonconsulting.ca","maintainer":true},{"name":"Kirill Mller","email":null,"maintainer":false},{"name":"Poisson Consulting ","email":null,"maintainer":false}],"readme":"\n\n\n# universals\n\n\n\n[![Lifecycle:\nexperimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)\n[![R build\nstatus](https://github.com/poissonconsulting/universals/workflows/R-CMD-check/badge.svg)](https://github.com/poissonconsulting/universals/actions)\n[![Codecov test\ncoverage](https://codecov.io/gh/poissonconsulting/universals/branch/master/graph/badge.svg)](https://codecov.io/gh/poissonconsulting/universals?branch=master)\n[![status](https://tinyverse.netlify.com/badge/universals)](https://CRAN.R-project.org/package=universals)\n[![License:\nMIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)\n[![CRAN\nstatus](https://www.r-pkg.org/badges/version/universals)](https://cran.r-project.org/package=universals)\n![CRAN downloads](https://cranlogs.r-pkg.org/badges/universals)\n\n\n`universals` provides S3 generic methods and some default\nimplementations for Bayesian analyses that generate Markov Chain Monte\nCarlo (MCMC) samples.\n\nThe purpose of ‘universals’ is to reduce package dependencies and\nconflicts.\n\n## Philosophy\n\nThe methods are primarily designed to be used for Bayesian analyses that\ngenerate Markov Chain Monte Carlo (MCMC) samples but many can also be\nused for Maximum Likelihood (ML) and other types of analyses.\n\nThe names of the functions are based on the following\ndefinitions/concepts:\n\n - A `term` is a single real or integer `value`.\n - A `par` (short for parameter) is a numeric object of terms.\n - An MCMC object is a collection of MCMC samples that refer to a set\n of terms.\n - The samples are arranged in one or more `chains` of the same length\n (number of `iterations`).\n - The number of `simulations` is the product of the number of\n iterations and the number of chains.\n - The number of `samples` is the product of the number of simulations\n and the number of `terms`.\n\nThe ‘nlist’ package implements many of the methods for its ‘nlists’\nclass.\n\n## Installation\n\nTo install the latest release from [CRAN](https://cran.r-project.org)\n\n``` r\ninstall.packages(\"universals\")\n```\n\nTo install the developmental version from\n[GitHub](https://github.com/poissonconsulting/universals)\n\n``` r\n# install.packages(\"remotes\")\nremotes::install_github(\"poissonconsulting/universals\")\n```\n\n## Usage\n\n`universals` is designed to be used by package developers.\n\nIt is recommended to import and re-export the generics of interest. For\nexample, to provide a method for the S3 `pars()` method, use the\nfollowing `roxygen2` code:\n\n``` r\n#' @importFrom universals pars\n#' @export\nuniversals::pars\n```\n\n## Contribution\n\nPlease report any\n[issues](https://github.com/poissonconsulting/universals/issues).\n\n[Pull requests](https://github.com/poissonconsulting/universals/pulls)\nare always welcome.\n\n## Code of Conduct\n\nPlease note that the universals project is released with a [Contributor\nCode of\nConduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html).\nBy contributing to this project, you agree to abide by its terms.","jobInfo":{"package":"universals","version":"0.0.3","parsingStatus":"success","parserVersion":1,"parsedAt":"2020-09-24T10:31:45+0000"}}

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