evidence (0.8.10)

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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.

Maintainer: Robert van Hulst
Author(s): Robert van Hulst

License: GPL (>= 2)

Uses: LaplacesDemon, lattice, LearnBayes, loo, rstan, rstanarm

Released almost 2 years ago.

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