Carlos Parada

> @ParadaCarleton I'm not 100% sure what the suggestion is - do you have a code example? As in, add a new data structure (`NumDict`, maybe?) such that the following...

> So overloading `getindex` this way will never work because it would be ambiguous what to do with types like `NumDict{Union{Int, Char}, Char}` or `NumDict{Any, Any}` - would the index...

> > NumDict{Union{Int, Char}, Char} or NumDict{Any, Any} should throw errors, as supertypes of Int; the idea of a new type would be to enforce the requirements needed to be...

I think I've found a very nice solution in [this package](https://github.com/jishnub/OrdinalIndexing.jl); would you be interested in a PR to support it?

> I've been thinking about similar things in relation to designing labelled graph types, i.e. a graph with vertex labels that could be anything, as opposed to the `SimpleGraph` type...

> Good point that this is related to [DimensionalData.jl](https://github.com/rafaqz/DimensionalData.jl) and other packages with named dimensions/indices (like [AxisKeys.jl](https://github.com/mcabbott/AxisKeys.jl), which seems a bit more flexible?). Both packages are almost identical, except that...

> Hmmm... I am aware of the MICE package in R, but there the idea is that the nultiple imputations are "chained" along the whole statistical procedure. I'm not sure...

> Compared to the imputers in BetaML it provides pooling of the analysis you perform using the imputed values, that you don't have here (you just have the multiple imputations...

@torfjelde

Have an identical bug, but I'm on Arch Linux (Manjaro technically).