discrete sampling

[marouanehanhasse]

I just want to ask a question here.
Does this package support the discrete sampling?

[davidanthoff]

I'm not sure I understand the question. This package implements the algorithm in Vihola (2012). Not sure what discrete sampling refers to in that context.

[marouanehanhasse]

there are two types of sampling in general a continuos one and a discrete one, so i'm trying to figure out weather this package is working for discrete sampling.

[davidanthoff]

I have to admit, I still don't understand the question :)

[marouanehanhasse]

let me put another way let's suppose that I have this customized distribution right here that samples arrays:

using Distributions
struct OrthoNNDist <: DiscreteMultivariateDistribution
	x0::Vector{Float64}
	oc::Array{Float64,2}
	x1s::Array
	prob::Float64
    #return a new uniform distribution with all vectors in x1s orthogonal to oc
	function OrthoNNDist(x0::Vector{Float64}, oc::Array{Float64,2})
		x1s = []
		for i = 1:size(oc)[2]
			x1 = x0 + oc[:, i]
			if nonneg(x1)
				push!(x1s, x1)
			end
			x1 = x0 - oc[:, i]
			if nonneg(x1)
				push!(x1s, x1)
			end
		end
		new(x0, oc, x1s, 1.0/length(x1s))
	end
end

Base.length(d::OrthoNNDist) = length(d.x0)

Distributions.rand(d::OrthoNNDist) = rand(d.x1s)

Distributions.pdf(d::OrthoNNDist, x::Vector) = x in d.x1s ? d.prob : 0.0
Distributions.pdf(d::OrthoNNDist) = fill(d.prob, size(d.x1s))
Distributions.logpdf(d::OrthoNNDist, x::Vector) = log(pdf(d, x))

and I have as a target distribution this function:
logtarget(x::Vector)=log(cosh.(x))

how can I use this package for this minimal example?