| B2props {evidence} | R Documentation |
Bayesian analysis of the binomial parameters for two samples.
Description
This function computes the posterior distributions of the binomial
parameters \pi[1] and \pi[2] 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 \pi's is
produced, and a plot of the posterior distribution of \pi[1] - \pi[2]
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))