Consider refactoring to use tibbles instead of data-frames or arrays

[BarbaraRobson]

Tibbles and hyper-tibbles are computationally more efficient and easier to display.

[dbarneche]

Is there a specific reason or this? This would add yet another dependency to the repo... would you gain speed?

[BarbaraRobson]

I don't think it would add a dependency because the repo already relies on dplyr, which uses tibbles (part of the tidyverse).

Advantages of tibbles:

• Faster in some circumstances that data frames (but may not make much difference for this package -- I am not sure).
• Where I have used arrays, using tibbles instead would support refactoring the code to make it easier to read. E.g. using tidy dplyr and purrr functions instead of "apply" and "lapply".

It isn't the first priority, but coding efficiently with multi-dimensional arrays hurts my brain and is where errors are most likely to creep in. I started this project before I was aware of dplyr.