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# Beta Borrowing for Fujikawa's Design
beta_borrow_fujikawa <- function(design, n, r, weights) {
shape <- matrix(c(design$shape1 + r, design$shape2 + n - r), nrow = 2,
byrow = TRUE)
all_combs <- arrangements::combinations(r, 2) + 1
weights_vec <- weights[all_combs]
weight_mat <- matrix(0, nrow = design$k, ncol = design$k)
weight_mat[lower.tri(weight_mat)] <- weights_vec
weight_mat <- weight_mat + t(weight_mat)
diag(weight_mat) <- 1
shape1post <- apply(weight_mat, 1, function(x) sum(shape[1, ] * x))
shape2post <- apply(weight_mat, 1, function(x) sum(shape[2, ] * x))
rbind(shape1post, shape2post)
}
# Analyzing Results for Fujikawa's Design
ana_fujikawa <- function(design, n, r, lambda, weights) {
shape_post <- beta_borrow_fujikawa(design = design, n = n, r = r,
weights = weights)
post_prob <- post_beta(shape = shape_post, p0 = design$p0)
ifelse(post_prob >= lambda, 1, 0)
}
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