Description Usage Arguments Value
Full Bayes Power Prior with Correlated Weight Parameters
1 2 | binom.PP.FB.MC.COR(x, n, verbose = FALSE, length = 200, d.prior.cor = 0,
p.prior.a = 1, p.prior.b = 1, mc.cores = 1, samples = 10000, focus)
|
x |
number of historical successes |
n |
number historical patients |
verbose |
Print messages |
length |
Number of points to evaluate density at |
d.prior.cor |
Correlation parameter for transformed multivariate normal prior on weights |
p.prior.a |
shape1 parameter for initial beta prior on probability |
p.prior.b |
shape2 parameter for initial beta prior on probability |
mc.cores |
Number of cores for parallel |
samples |
Number of Monte Carlo samples |
focus |
List of triples specifying regions to focus on, eg peaks. Specified as list(c(lower, upper, length)) |
A density function
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