twCoefLogitnormCi
Calculates mu and sigma of the logitnormal distribution from lower and upper quantile, i.e. confidence interval.
twCoefLogitnormCi(lower, upper, perc = 0.975,
sigmaFac = qnorm(perc), isTransScale = FALSE)lower |
value at the lower quantile, i.e. practical minimum |
upper |
value at the upper quantile, i.e. practical maximum |
perc |
numeric vector: the probability for which the quantile was specified |
sigmaFac |
sigmaFac = 2 is 95% sigmaFac = 2.6 is 99% interval |
isTransScale |
if true lower and upper are already on logit scale |
named numeric vector: mu and sigma parameter of the logitnormal distribution.
Thomas Wutzler
mu = 2 sd = c(1,0.8) p = 0.99 lower <- l <- qlogitnorm(1 - p, mu, sd ) # p-confidence interval upper <- u <- qlogitnorm(p, mu, sd ) # p-confidence interval cf <- twCoefLogitnormCi(lower,upper, perc = p) all.equal( cf[,"mu"] , c(mu,mu) ) all.equal( cf[,"sigma"] , sd )
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