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I don't think modelr is going to change significantly in the future. It solved a pressing problem (fitting models as part of a pipeline) so I could teach modelling using the same interface as everything else in the book.

However, the modelling infrastructure in R is generally showing it's age, and thinking about how to make modelling easier is something that I will be working on in the coming months.

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I saw the vctrs package repo the other day on your GitHub. What's your plan with that? I guess your covering all of R's base data types (dplyr:data frames, purrr:lists, forcats:factors, vctrs:vectors)? Also do you plan on developing further functional programming packages?

Yes. You can read the issues for what the package will start with.

No plans for more FP packages in the near future, although I do want to add multicore and progress bars to purrr.

Sounds great. Something like a tidyverse version of the data pipeline capabilities of scikit-learn would be awesome.

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