B2props {evidence} | R Documentation |
Bayesian analysis of the binomial parameters for two samples.
Description
This function computes the posterior distributions of the binomial
parameters and
when given the numbers of
“successes” and the sample sizes for the two samples. It uses uniform
priors. A plot of the posterior distributions of the two
's is
produced, and a plot of the posterior distribution of
with its 95% credible interval.
Usage
B2props(s, n, alpha = 0.05)
Arguments
s |
a vector containing the 2 numbers of sampling units with the feature ("success") |
n |
a vector containing the 2 numbers of sampling units examined |
alpha |
1 - level of credibility, so that for alpha = 0.05 (the default) credible intervals will have 95% credibility |
Value
None, the inferred difference between the probabilities and its 95% credible interval is calculated and several plots are produced
Author(s)
Robert van Hulst
References
van Hulst, R. 2018. Evaluating Scientific Evidence. ms.
See Also
Examples
B2props(c(13, 22), c(78, 92))