STBP-class | R Documentation |
This class encapsulates results of a Sequential tests of Bayesian posterior probabilities
call
(language) The call to stbp_simple
or stbp_composite
.
probabilities
(numeric) Vector of sequential posterior probabilities.
recommendation
(character) Recommendation on H, whether to accept, reject or keep sampling.
iterations
(numeric) Number of sequential sampling bouts required or processed.
set.seed(101)
counts3 <- rpois(5, lambda = 3)
test1F <- stbp_composite(data = counts3,
greater_than = TRUE,
hypothesis = 5,
density_func = "poisson",
prior = 0.5,
lower_bnd = 0,
upper_bnd = Inf,
lower_criterion = 0.001,
upper_criterion = 0.999)
test1F # returns "reject H".
counts10 <- matrix(rep(0, 30), 10, 3)
test1G <- stbp_simple(data = counts10,
density_func= "poisson",
prior = 0.5,
upper_bnd = Inf,
lower_criterion = 0,
upper_criterion = 0.9999)
test1G # returns "keep sampling" due to insufficient evidence.
## End (Not run)
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