Formula: \(\mu = \exp(\mu_{log} + 0.5 \cdot \sigma_{log}^2)\) \(\mathrm{Var}(X) = (\exp(\sigma_{log}^2) - 1) \cdot \exp(2\mu_{log} + \sigma_{log}^2)\)
mlnorm(meanlog, sdlog)
List with mean and variance
Aitchison, J. and Brown, J.A.C. (1957). The Lognormal Distribution. Cambridge University Press.
mlnorm(meanlog = 0, sdlog = 1)
#> $mean
#> [1] 1.65
#>
#> $variance
#> [1] 4.67
#>