# \[ANN\] MixedDistributions.jl to manipulate mixed discrete-continuous variables

**URL:** https://discourse.julialang.org/t/ann-mixeddistributions-jl-to-manipulate-mixed-discrete-continuous-variables/13935
**Category:** Statistics
**Tags:** announcement
**Created:** [August 23, 2018, 12:17pm UTC](https://discourse.julialang.org/t/ann-mixeddistributions-jl-to-manipulate-mixed-discrete-continuous-variables/13935 "2018-08-23T12:17:00Z")
**Posts on this page:** 1
**Page:** 1

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### Author: ![mbesancon](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/mbesancon/32/6528_2.png) [@mbesancon](https://discourse.julialang.org/u/mbesancon)
#### Post date: [August 23, 2018, 12:17pm UTC](https://discourse.julialang.org/t/ann-mixeddistributions-jl-to-manipulate-mixed-discrete-continuous-variables/13935/1 "2018-08-23T12:17:00Z")

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Built on top of Distributions.jl, the goal of MixedDistributions is to represent and manipulate discrete-continuous variables.  
An informal definition of such variable is a continuous distribution with mass points (the CDF has positive discontinuities at these mass points).

[https://github.com/matbesancon/MixedDistributions.jl](https://github.com/matbesancon/MixedDistributions.jl)  
As I see it for now, this could look like mixture distributions, but formulated in a more general way than what Distributions.jl develops for its [AbstractMixtureModel](http://juliastats.github.io/Distributions.jl/stable/mixture.html) type which is parametrized on **one** family of distributions.