Analysis of Scientific Evidence Using Bayesian and Likelihood
Methods

Bayesian (and some likelihoodist) functions as alternatives to hypothesis-testing functions in R base using a user interface patterned after those of R's hypothesis testing functions. See McElreath (2016, ISBN: 978-1-4822-5344-3), Gelman and Hill (2007, ISBN: 0-521-68689-X) (new edition in preparation) and Albert (2009, ISBN: 978-0-387-71384-7) for good introductions to Bayesian analysis and Pawitan (2002, ISBN: 0-19-850765-8) for the Likelihood approach. The functions in the package also make extensive use of graphical displays for data exploration and model comparison.

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### Description file content

- Package
- evidence
- Version
- 0.8.9
- Date
- 2018-04-7
- Title
- Analysis of Scientific Evidence Using Bayesian and Likelihood
Methods
- Author
- Robert van Hulst
- Maintainer
- Robert van Hulst
- BugReports
- https://github.com/rvhulst/evidence/
- Depends
- rstan, rstanarm, loo, lattice, stats, utils, graphics,
grDevices
- Imports
- LearnBayes, LaplacesDemon,
- ByteCompile
- TRUE
- Description
- Bayesian (and some likelihoodist) functions as alternatives to hypothesis-testing functions in R base using a user interface patterned after those of R's hypothesis testing functions. See McElreath (2016, ISBN: 978-1-4822-5344-3), Gelman and Hill (2007, ISBN: 0-521-68689-X) (new edition in preparation) and Albert (2009, ISBN: 978-0-387-71384-7) for good introductions to Bayesian analysis and Pawitan (2002, ISBN: 0-19-850765-8) for the Likelihood approach. The functions in the package also make extensive use of graphical displays for data exploration and model comparison.
- License
- GPL (>= 2)
- NeedsCompilation
- no
- Packaged
- 2018-04-14 13:06:38 UTC; rvhulst
- Repository
- CRAN
- Date/Publication
- 2018-04-14 13:33:30 UTC