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logitnorm (version 0.8.39)

twCoefLogitnormCi: twCoefLogitnormCi

Description

Calculates mu and sigma of the logitnormal distribution from lower and upper quantile, i.e. confidence interval.

Usage

twCoefLogitnormCi(lower, upper, perc = 0.975, 
    sigmaFac = qnorm(perc), isTransScale = FALSE)

Value

named numeric vector: mu and sigma parameter of the logitnormal distribution.

Arguments

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

Author

Thomas Wutzler

See Also

logitnorm

Examples

Run this code
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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