Compute E-value for a difference of means and its confidence interval limits

Returns a data frame containing point estimates, the lower confidence limit, and the upper confidence limit on the risk ratio scale (through an approximate conversion) as well as E-values for the point estimate and the confidence interval limit closer to the null.

evalues.MD(est, se = NA, true = 0, ...)

Arguments

est	The point estimate as a standardized difference (i.e., Cohen's d)
se	The standard error of the point estimate
true	The true standardized mean difference to which to shift the observed point estimate. Typically set to 0 to consider a null true effect.
...	Arguments passed to other methods.

Examples

# compute E-value if Cohen's d = 0.5 with SE = 0.25
evalues.MD(.5, .25)
#>             point    lower    upper
#> RR       1.576173 1.010050 2.459603
#> E-values 2.529142 1.110803       NA