p2minpp

<p>the frequentist p-value (which has to be less than 1/e or 0.37)</p>

<p>This function computes the approximate lower bound to the posterior
probability of the null hypothesis assuming equal odds of the
null and the alternative. See Sellke et al.(2001) for the derivation,
and note that the posterior probability of the null hypothesis is what
many incorrectly assume the p-value is measuring.</p>

 htest

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.

Robert Hulst

evidence

Analysis of Scientific Evidence Using Bayesian and Likelihood
Methods

p2minpp function

Conversion of a frequentist p-value to a lower bound of the posterior
probability that the null hypothesis is true assuming equal odds of the
null and the alternative — p2minpp

Conversion of a frequentist p-value to a lower bound of the posterior
probability that the null hypothesis is true assuming equal odds of the
null and the alternative

p2minpp: Conversion of a frequentist p-value to a lower bound of the posterior probability that the null hypothesis is true assuming equal odds of the null and the alternative

Description

Usage

Arguments

Value

References

See Also

Examples