binom.PP.FB.COR: Full Bayes Power Prior with Correlated Weight Parameters...

In StudyPrior: Distributions for Historical Information

Description

Full Bayes Power Prior with Correlated Weight Parameters using Rao-Blackwell

Usage

binom.PP.FB.COR(x, n, verbose = FALSE, mixture.size = 1000,
  d.prior.cor = 0, p.prior.a = 1, p.prior.b = 1, mc.cores = 1)

Arguments

x	number of historical successes
n	number historical patients
verbose	Print messages
mixture.size	Number of components in the mixture. If d.prior.cor=0, will be rounded to nearest value a^length(x) to make the grid evenly spaced.
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

Value

A density function

StudyPrior documentation built on May 2, 2019, 5:54 p.m.