Compute the mean of logit-normal distribution(s)

This function is a wrapper around logitnorm::momentsLogitnorm().

Usage

logitnorm_mean(mu, sigma)

Arguments

mu

mean(s) on the logit scale

sigma

standard deviation(s) on the logit scale

Value

the means of the distributions

Examples

# \donttest{
x <- logitnorm_mean(2, 1)
x
#>      mean 
#> 0.8445375 
# }
# compare to simulation
set.seed(100)
rnorm(1000, 2, 1) |> plogis() |> mean()
#> [1] 0.8444758