Description Usage Arguments Value Examples
View source: R/power_sampsize.R
Determine the 'power' for a Bayesian hypothesis test
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  bayes_power(
n,
h1,
h2,
m1,
m2,
sd1 = 1,
sd2 = 1,
scale = 1000,
bound1 = 1,
bound2 = 1/bound1,
datasets = 1000,
nsamp = 1000,
seed = 31
)

n 
A number. The sample size 
h1 
A constraint matrix defining H1 
h2 
A constraint matrix defining H2 
m1 
A vector of expected population means under H1 
m2 
A vector of expected populations means under H2

sd1 
A vector of standard deviations under H1. Must be a single number (equal
standard deviation under all populations), or a vector of the same length as 
sd2 
A vector of standard deviations under H2. Must be a single number (equal
standard deviation under all populations), or a vector of the same length as 
scale 
A number specifying the prior scale 
bound1 
A number. The boundary above which BF12 favors H1 
bound2 
A number. The boundary below which BF12 favors H2 
datasets 
A number. The number of datasets to compute the error probabilities 
nsamp 
A number. The number of prior or posterior samples to determine the fit and complexity 
seed 
A number. The random seed to be set 
The Type 1, Type 2, Decision error and Area of Indecision probability and the median BF12s under H1 and H2
1 2 3 4 5 6 
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