sequential.pops (version 0.1.1)

STBP-class: 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 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.

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)