WARNING: Base.MersenneTwister is deprecated: it has been moved to the standard library package `Random`

[bsnyh]

@IljaK91, thank you so much for your quick reply. But the following is what I meant.

A uniform way to generate a random element based on a given probability distritution function, a random number genarator and a given element interval?

Dispatching is one of Julia’s strong suits. I was wondering, is there a single function which would generate a random element based on a given probability distribution function, a random number genarator and a given element interval? I’m using Julia 0.7. If not, what are your suggestions? I’m talking about something similar to the fit_mle(D, x, w) method in the DIstribution.jl. Distributions.fit_mle — Method. fit_mle(D, x, w) Fit a distribution of type D to a weighted data set x , with …