Hi, I wish to work with the Gaussian Mixture distribution (especially rand and pdf), exactly as in this example <https://github.com/johnmyleswhite/MixtureModels.jl>:
mu = [0.0 25.0; 0.0 25.0] sigma = Array(Float64, 2, 2, 2) sigma[:, :, 1] = [1.0 0.9; 0.9 1.0] sigma[:, :, 2] = 7.5 * [1.0 0.0; 0.0 1.0] p = [0.9, 0.1] distr = MixtureMultivariateNormals(mu, sigma, p) X = rand(distr, 10_000) However, the method MixtureMultivariateNormals(mu, sigma, p) used in that example no longer exists. The maintained version of MixtureModels.jl <https://github.com/lindahua/MixtureModels.jl> has no examples or methods in the documentation of basic usage, and it is far from obvious how to use it for a Gaussian mixture. Separately, the package GaussianMixtures.jl <https://github.com/davidavdav/GaussianMixtures.jl>, does not successfully work in what would seem to be the obvious method: julia> GMM(p,mu,sigma) ERROR: `GMM{T<:FloatingPoint,CT<:Union(Array{T,2},Array{T,1})}` has no method matching GMM{T<:FloatingPoint,CT<:Union(Array{T,2},Array{T,1})}(::Array{Float64,1}, ::Array{Float64,2}, ::Array{Float64,2}) Could someone show me a working example analogous to the one above, using whichever package you wish? Thank you, Bradley
