bhpm.ptheta {bhpm}

Reports the posterior probability that theta (the increase in the log-odds) is greater than zero, zero, and less than zero for each outcome

Description

This function reports the posterior probability that theta is positive negative or zero, i.e. that there is an increase, decrease, or no difference in the log odds of an outcome being associated with treatment.

Usage

	bhpm.ptheta(raw)

Arguments

raw

The output from a call to one of bhpm.cluster.BB.hier3, bhpm.cluster.1a.hier3, bhpm.cluster.BB.hier2, bhpm.cluster.1a.hier2.

Value

A data frame containing the columns: Trt.Grp, Cluster, Outcome.Grp, Outcome, ptheta, ptheta.pos, ptheta.zero, ptheta.neg.

Author(s)

R. Carragher

Examples

data(bhpm.cluster.data1)
data <- subset(bhpm.cluster.data1, Cluster == '0.0-180.0' | Cluster == '180.0-360.0')
raw = bhpm.npm(data, burnin = 10, iter = 100)
p = bhpm.ptheta(raw)
head(p, 2)


data(bhpm.cluster.data1)
raw = bhpm.npm(bhpm.cluster.data1)
p = bhpm.ptheta(raw)
head(p, 2)