| logrankSingleEExact | R Documentation | 
Helper function computes single component of the exact logrank e-value
logrankSingleEExact(obs0, obs1, y0, y1, thetaS, theta0 = 1, ...)
obs0 | 
 integer, number of observations in the control group.  | 
obs1 | 
 integer, number of observations in the treatment group.  | 
y0 | 
 integer, total number of participants in the control group.  | 
y1 | 
 integer, total number of participants in the treatment group.  | 
thetaS | 
 numeric > 0 represents the safe test defining (GROW) alternative
hypothesis obtained from   | 
theta0 | 
 numeric > 0 represents the null hypothesis. Default theta0=1.  | 
... | 
 further arguments to be passed to or from methods.  | 
Returns a list containing at least the following components:
Log likelihood of Fisher's hypergeometric at the null
Log likelihood of Fisher's hypergeometric at the alternative
Log likelihood of Fisher's hypergeometric at 1/alternative
#'
y0Vector <- c(5, 4, 3, 3, 2, 1)
y1Vector <- c(5, 5, 4, 2, 2, 0)
obs0Vector <- c(1, 1, 0, 1, 0, 1)
obs1Vector <- c(0, 0, 1, 0, 1, 0)
logEValueGreater <- logEValueLess <- vector("numeric", length(y0Vector))
for (i in seq_along(y0Vector)) {
  tempResult <- logrankSingleEExact(obs0=obs0Vector[i], obs1=obs1Vector[i],
                                    y0=y0Vector[i], y1=y1Vector[i],
                                    thetaS=0.7, theta0=1)
  logEValueLess[i] <- tempResult[["logEValueLess"]]
  logEValueGreater[i] <- tempResult[["logEValueGreater"]]
}
eValueLess <- exp(sum(logEValueLess))
eValueLess #1.116161
eValueGreater <- exp(sum(logEValueGreater))
eValueGreater # 0.7665818
eValue <- 1/2*eValueLess + 1/2*eValueGreater
eValue # 0.9413714
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