Please do! It's actually an open issue:
https://github.com/JuliaStats/Distributions.jl/issues/197
but there is no reason we can't do it now for Distributions that don't call
Rmath code (such as Exponential).
Simon
On Thursday, 2 October 2014 23:58:09 UTC+1, Andrew Dolgert wrote:
Darn, now
Darn, now it's on me. I've read the codebase, and could add the feature
with a little work. It's just a method on rand(), coupled with pulling
code, such as ziggurat, out of Base.
Thanks,
Drew
On Wednesday, October 1, 2014 11:39:16 PM UTC-4, John Myles White wrote:
Hi Andrew,
It sounds
This is how we get you ;-)
On Oct 2, 2014, at 6:58 PM, Andrew Dolgert adolg...@gmail.com wrote:
Darn, now it's on me. I've read the codebase, and could add the feature with
a little work. It's just a method on rand(), coupled with pulling code, such
as ziggurat, out of Base.
Thanks,
It doesn't seem possible to use an explicit random number generator to
sample a distribution:
rng=MersenneTwister(seed)
rand(Distributions.Exponential(scale), rng)
Did I miss a way to do this?
I want to use an explicit generator because
- I can serialize it and pick up where I left off with
Hi Andrew,
It sounds like you've got a lot of interesting ideas for improving
Distributions.jl. Please read through the existing codebase when you've got
some time and submit pull requests for any functionality you'd like to see
changed.
In regard to your main question, I don't believe we
