Usage
moverbci(x1, n1, x2, n2, a1 = 0.5, b1 = 0.5, a2 = 0.5, b2 = 0.5,
distrib = "bin", contrast = "RD", level = 0.95, cc = 0, ...)
Arguments
x1, x2
Numeric vectors of numbers of events in group 1 & group 2
respectively.
n1, n2
Numeric vectors of sample sizes (for binomial rates) or exposure
times (for Poisson rates) in each group.
a1, b1, a2, b2
Numbers defining the Beta(ai,bi) prior distributions for
each group (default ai = bi = 0.5 for Jeffreys uninformative priors). Gamma
priors for Poisson rates require only a1, a2.
distrib
Character string indicating distribution assumed for the input
data: "bin" = binomial (default), "poi" = Poisson.
contrast
Character string indicating the contrast required: "RD"
(default), "RR", or "OR". "p" gives an interval for the single proportion
x1/n1.
level
Number specifying confidence level (between 0 and 1, default
0.95).
cc
Number or logical specifying (amount of) continuity correction
(default 0).