STBP-class {sequential.pops} | R Documentation |
Class "STBP". Result of a Sequential tests of Bayesian posterior probabilities
Description
This class encapsulates results of a Sequential tests of Bayesian posterior probabilities
Slots
call
(language) The call to
stbp_simple
orstbp_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.
Examples
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)
[Package sequential.pops version 0.1.1 Index]