betpp {bmet} | R Documentation |
Posterior predictive based Bayesian multigroup equivalence testing
Description
Function provides the necessary tools to carry out Bayesian multigroup equivalence testing based on sampling of the posterior predictive distribution. The function returns posterior predictive samples of future differences amongst groups.
Usage
betpp(values, groups, em, A, B = 10000)
Arguments
values |
A vector of measurements sorted in the same order as the |
groups |
A vector of groups labels corresponding to the individual measurements in the |
em |
A c x 2 matrix of lower and upper equivalence margins. Here, c is the number of pairwise comparisons of interest. |
A |
A c x k matrix of pairwise contrasts. Here, k is the number of groups, i.e., |
B |
A positive integer specifying the number of posterior predictive samples to draw. By default |
Value
The function returns a list object containing the following:
prob: The probability that future differences fall within the equivalence margins.
delta: A B x c matrix of posterior predictive samples of future differences for each pairwise comparison of interest.
References
Pourmohamad, T. and Lee, H.K.H. (2023). Equivalence Testing for Multiple Groups. Stat, e645.
Examples
### Multigroup equivalence test for A vs. B and A vs. C
values <- rnorm(75)
groups <- rep(LETTERS[1:3], each = 25)
mad1 <- 0.65 # The equivalence margin for A vs. B
mad2 <- 0.65 # The equivalence margin for A vs. C
mads <- c(mad1, mad2)
mads <- cbind(-mads, mads)
A <- apc(3)
A <- A[1:2, ]
out <- betpp(values, groups, mads, A, B = 10000)
out$prob # The probability that future differences
# fall within the equivalence margins