population_bf {multinomineq} | R Documentation |
Aggregation of Individual Bayes Factors
Description
Aggregation of multiple individual (N=1) Bayes factors to obtain the evidence for a hypothesis in a population of persons.
Usage
population_bf(bfs)
Arguments
bfs |
a vector with individual Bayes factors,
a matrix with one type of Bayes-factor comparison per column,
or a list of matrices with a named column |
Value
a vector or matrix with named elements/columns:
-
population_bf
: the product of individual BFs -
geometric_bf
: the geometric mean of the individual BFs -
evidence_rate
: the proportion of BFs>1 (BFs<1) ifgeometric_bf>1
(<1). Values close to 1.00 indicate homogeneity. -
stability_rate
: the proportionbfs>geometric_bf
(<) ifgeometric_bf>1
(<). Values close to 0.50 indicate stability.
References
Klaassen, F., Zedelius, C. M., Veling, H., Aarts, H., & Hoijtink, H. (in press). All for one or some for all? Evaluating informative hypotheses using multiple N = 1 studies. Behavior Research Methods. https://doi.org/10.3758/s13428-017-0992-5
Examples
# consistent evidence across persons:
bfs <- c(2.3, 1.8, 3.3, 2.8, 4.0, 1.9, 2.5)
population_bf(bfs)
# (A) heterogeneous, inconsistent evidence
# (B) heterogeneous, inconsistent evidence
bfs <- cbind(
A = c(2.3, 1.8, 3.3, 2.8, 4.0, 1.9, 2.5),
B = c(10.3, .7, 3.3, .8, 14.0, .9, 1.5)
)
population_bf(bfs)