Andreas Noack

If `x` is a collection and `foo` is a function then we can sort with `sort!(x,by=foo)`. For simplicity let `n=length(x)` be odd. My candidate for the median is `x[n>>1 +...

> It is basically never useful to get a Symmetric wrapped matrix back, At least it depends on how you use covariance matrices. For many of my use cases, I'd...

Closed by https://github.com/JuliaStats/Statistics.jl/pull/96

I few comments for now. The present structure was implemented because I wanted the generic functions defined somewhere upstream and the type hierarchy was of lower priority. However, I did...

I think the "Array" part is slightly misleading here because the name mimics Base's arrays which are N-dimensional, but the objects in this package are basically 2D (the 1D case...

Yes. It's hasn't really been used for a long time so it might be a good idea to deprecate this. Either by updating the README or moving it to JuliaArchive.

The main criterion for including a package in JuliaStats is the number of collaborators. If several people need commit access it can be convenient to have the repo in an...

...this might or might not be a good idea, but if this is what we want then we'll have to have a _model_ type **and** a _fitted model_ type where...

I think I'd call the "calibrated model" a _probablity distribution_ and make it a subtype of `Distribution`. In practice, I think it's quite convenient to carry a reference to the...

@tbreloff Typically, a model is a family of probability distributions indexed by the parameters of the distributions so as mentioned above, I'd call `Normal(μ, σ)` with `(μ,σ)=(2.3,.7)` a **distribution** and...