evidence (version 0.8.10)

Bft2x2: Bayesian analysis of a 2 x 2 contingency table.

Description

A 2 x 2 contingency table (in matrix form) is analyzed in a Bayesian way using uniform priors. The posterior probabilities of each of the the two outcomes given the other factor levels are calculated. See MacKay(2003, p. 460).

Usage

Bft2x2(X, div = 100, plotit = TRUE)

Arguments

X

a contingency table in the form of a 2 x 2 matrix with row and column names

div

optional: the number of divisions for the row and column variables for use in calculations (can be left at 100)

plotit

should plots be produced? (defaults to TRUE)

Value

the matrix of div x div posterior probabilities that was plotted

Details

Note that the rows of the 2 x 2 matrix are assumed to represent the "outcomes" and the columns the "treatments"---where these expressions are applicable. Note also that to obtain properly labeled plots the matrix has to be supplied with dimnames.

References

MacKay, D.J.C. 2003. Information Theory, Inference, and Learning Algorithms. Cambridge University Press, Cambridge.

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

See Also

fisher.test

Examples

# NOT RUN {
data(Glasses)
Bft2x2(Glasses)
# }