View source: R/strategy_multiattribute.R
strategy_to_Ab | R Documentation |
Transforms ordered item-type predictions to polytope definition.
This allows to use Monte-Carlo methods to compute the Bayes factor
if the number of item types is large (bf_binom
).
strategy_to_Ab(strategy)
strategy |
a decision strategy returned by |
Note: Only works for models without guessing predictions and without equality constraints (i.e., requires separate error probabilities per item type)
a list containing the matrix A
and the vector b
that define a polytope via A*x <= b
.
# strategy: A,B,B,A e2<e3<e4<e1<.50 strat <- list( pattern = c(-1, 4, 3, -2), c = .5, ordered = TRUE, prior = c(1, 1) ) pt <- strategy_to_Ab(strat) pt # compare results to encompassing BF method: b <- list( pattern = 1:4, c = 1, ordered = FALSE, prior = c(1, 1) ) k <- c(2, 20, 18, 0) n <- rep(20, 4) m1 <- strategy_postprob(k, n, list(strat, b)) log(m1[1] / m1[2]) bf_binom(k, n, pt$A, pt$b, log = TRUE)
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