Interpret Bayes Factor (BF)
Interpret Bayes Factor (BF)
interpret_bf( bf, rules = "jeffreys1961", include_value = FALSE, protect_ratio = TRUE, exact = TRUE )
bf |
Value or vector of Bayes factor (BF) values. |
rules |
Can be |
include_value |
Include the value in the output. |
protect_ratio |
Should values smaller than 1 be represented as ratios? |
exact |
Should very large or very small values be reported with a scientific format (e.g., 4.24e5), or as truncated values (as "> 1000" and "< 1/1000"). |
Argument names can be partially matched.
Rules apply to BF as ratios, so BF of 10 is as extreme as a BF of 0.1 (1/10).
Jeffreys (1961) ("jeffreys1961"; default)
BF = 1 - No evidence
1 < BF <= 3 - Anecdotal
3 < BF <= 10 - Moderate
10 < BF <= 30 - Strong
30 < BF <= 100 - Very strong
BF > 100 - Extreme.
Raftery (1995) ("raftery1995")
BF = 1 - No evidence
1 < BF <= 3 - Weak
3 < BF <= 20 - Positive
20 < BF <= 150 - Strong
BF > 150 - Very strong
Jeffreys, H. (1961), Theory of Probability, 3rd ed., Oxford University Press, Oxford.
Raftery, A. E. (1995). Bayesian model selection in social research. Sociological methodology, 25, 111-164.
Jarosz, A. F., & Wiley, J. (2014). What are the odds? A practical guide to computing and reporting Bayes factors. The Journal of Problem Solving, 7(1),
interpret_bf(1) interpret_bf(c(5, 2))
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