CTA: Contingency Table Analysis in different ways

In evidence: Analysis of Scientific Evidence Using Bayesian and Likelihood Methods

Description

An n x n contingency table is analyzed in frequentist, information-theoretical, likelihood, and Bayesian ways. Note that for the Bayesian analysis package LearnBayes needs to be installed.

Usage

CTA(X, extBayes = FALSE)

Arguments

X	a matrix with non-negative integers representing the counts for the row-column levels
extBayes	should a Bayesian analysis with a near-independence prior (instead of only an independence prior) be done as well? Defaults to FALSE.

Value

none provided: the function is run for its graphical and numerical output

Author(s)

Robert van Hulst

References

van Hulst, R. 2018. Evaluating Scientific Evidence. ms.

See Also

Bft2x2

Examples

data(Smoking)
CTA(Smoking)

evidence documentation built on May 2, 2019, 2:14 p.m.