{"Package":"extras","Title":"Helper Functions for Bayesian Analyses","Version":"0.2.0","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 = \"Nadine\",\nfamily = \"Hussein\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0003-4470-8361\")),\nperson(given = \"Poisson Consulting\",\nrole = c(\"cph\", \"fnd\")))","Description":"Functions to 'numericise' 'R' objects (coerce to numeric\nobjects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and\ncalculate deviance residuals as well as 'R' translations of 'BUGS'\n(Bayesian Using Gibbs Sampling) and 'JAGS' (Just Another Gibbs\nSampler) functions.","License":"MIT + file LICENSE","URL":"https://poissonconsulting.github.io/extras/,\nhttps://github.com/poissonconsulting/extras","BugReports":"https://github.com/poissonconsulting/extras/issues","Depends":"R (>= 3.4)","Imports":"chk, lifecycle, stats","Suggests":"covr, hms, knitr, rlang, testthat, tibble","Encoding":"UTF-8","Language":"en-US","RoxygenNote":"7.1.1","NeedsCompilation":"no","Packaged":"2021-08-04 18:50:08 UTC; joe","Author":"Joe Thorley [aut, cre] (),\nKirill Mller [ctb] (),\nNadine Hussein [ctb] (),\nPoisson Consulting [cph, fnd]","Maintainer":"Joe Thorley ","Repository":"CRAN","Date/Publication":"2021-08-05 04:20:31 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/extras_0.2.0.tar.gz","jsonAuthors":[{"name":"Joe Thorley","email":"joe@poissonconsulting.ca","maintainer":true},{"name":"Kirill Mller","email":null,"maintainer":false},{"name":"Nadine Hussein","email":null,"maintainer":false},{"name":"Poisson Consulting ","email":null,"maintainer":false}],"readme":"\n\n\n# extras\n\n\n\n[![Lifecycle:\nexperimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)\n[![R-CMD-check](https://github.com/poissonconsulting/extras/workflows/R-CMD-check/badge.svg)](https://github.com/poissonconsulting/extras/actions)\n[![Codecov test\ncoverage](https://codecov.io/gh/poissonconsulting/extras/branch/master/graph/badge.svg)](https://codecov.io/gh/poissonconsulting/extras?branch=master)\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/extras)](https://cran.r-project.org/package=extras)\n\n\n`extras` provides helper functions for Bayesian analyses.\n\nIn particular it provides functions to numericise R objects and\nsummarise MCMC samples as well as R translations of `BUGS` (and `JAGS`)\nfunctions.\n\n## Installation\n\n\n\nTo install the developmental version from\n[GitHub](https://github.com/poissonconsulting/extras)\n\n``` r\n# install.packages(\"remotes\")\nremotes::install_github(\"poissonconsulting/extras\")\n```\n\n## Demonstration\n\n### Numericise R Objects\n\nAtomic vectors, matrices, arrays and data.frames of appropriate classes\ncan be converted to numeric objects suitable for Bayesian analysis using\nthe `numericise()` (and `numericize()`) function.\n\n``` r\nlibrary(extras)\nnumericise(\n data.frame(logical = c(TRUE, FALSE),\n factor = factor(c(\"blue\", \"green\")),\n Date = as.Date(c(\"2000-01-01\", \"2000-01-02\")),\n hms = hms::as_hms(c(\"00:00:02\", \"00:01:01\"))\n )\n)\n#> logical factor Date hms\n#> [1,] 1 1 10957 2\n#> [2,] 0 2 10958 61\n```\n\n### Summarise MCMC Samples\n\nThe `extras` package provides functions to summarise MCMC samples like\n`svalue()` which gives the *surprisal value* (Greenland, 2019)\n\n``` r\nset.seed(1)\nx <- rnorm(100)\nsvalue(rnorm(100))\n#> [1] 0.3183615\nsvalue(rnorm(100, mean = 1))\n#> [1] 1.704015\nsvalue(rnorm(100, mean = 2))\n#> [1] 3.850857\nsvalue(rnorm(100, mean = 3))\n#> [1] 5.073249\n```\n\n## R translations\n\nThe package also provides R translations of `BUGS` (and `JAGS`)\nfunctions such as `pow()` and `log<-`.\n\n``` r\npow(10, 2)\n#> [1] 100\n\nmu <- NULL\nlog(mu) <- 1\nmu\n#> [1] 2.718282\n```\n\n## References\n\nGreenland, S. 2019. Valid P -Values Behave Exactly as They Should: Some\nMisleading Criticisms of P -Values and Their Resolution With S -Values.\nThe American Statistician 73(sup1): 106–114.\n.\n\n## Contribution\n\nPlease report any\n[issues](https://github.com/poissonconsulting/extras/issues).\n\n[Pull requests](https://github.com/poissonconsulting/extras/pulls) are\nalways welcome.\n\n## Code of Conduct\n\nPlease note that the extras project is released with a [Contributor Code\nof\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":"extras","version":"0.2.0","parsingStatus":"success","parserVersion":1,"parsedAt":"2022-06-08T18:29:48+0000"}}

Description

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See Also

Examples