getProbScalarRD: Calculate risks from arctanh RD and log OP
In brm: Binary Regression Model

Description Usage Arguments Details Value Examples

View source: R/getProbScalarRD.R

Calculate risks from arctanh RD and log OP

1	getProbScalarRD(atanhrd, logop)

`atanhrd`	arctanh of risk difference
`logop`	log of odds product

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))]. The inverse hyperbolic tangent function arctanh is defined as arctanh(z) = [log(1+z) - log(1-z)] / 2.

a vector (P(y=1|x=0),P(y=1|x=1))

getProbScalarRD(0,0)

set.seed(0)
logrr = rnorm(10,0,1)
logop = rnorm(10,0,1)
probs = mapply(getProbScalarRD, logrr, logop)
rownames(probs) = c("P(y=1|x=0)","P(y=1|x=1)")
probs