I think so. According to Wikipedia, given a variable Z with standard normal gaussian distribution (σ=1, μ=0) a generic log-normal variable X with generic parameters μ and σ is given by:

X = exp( μ + σZ)

. The two parameters

σ

and

μ

refer to the standard deviation and mean of

ln(X)

, according to the log-normal definition. Given the above i vould guess something like:

lnorm(μ, σ) = exp(μ + σ * agauss(0,1,1)) = exp(agauss(μ, σ, 1))

Not 100.0000% sure, but this is my understanding after reading the definitions and ngspice man