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Calculate risks from log RR and log OP (vectorised)
getProbRR(logrr, logop = NA)
log of relative risk
log of odds product
a matrix \((P(y=1|x=0),P(y=1|x=1))\) with two columns
The \(log OP\) is defined as \(log OP = log[(P(y=1|x=0)/P(y=0|x=0))*(P(y=1|x=1)/P(y=0|x=1))]\).
# NOT RUN { getProbRR(0,0) set.seed(0) logrr = rnorm(10,0,1) logop = rnorm(10,0,1) probs = getProbRR(logrr, logop) colnames(probs) = c("P(y=1|x=0)","P(y=1|x=1)") probs # }
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