Refactor toa

[gvegayon]

The time of adoption vector toa currently allows information about a single adoption to be registered. We need to refactor this component so toa is computed as a function of the adoption/cumadop matrices (arrays). You need to:

• Remove references to toa in the code and replace it with toa_mat() or something similar.
• The toa_mat() or something similar function should compute times of adoption based on the adopt matrix.

Some functions where $toa is present:

• diffnet.attrs
• toa_diff
• diffnet.toa
• diffnet.toa<-
• diffnet.subset.slices
• summary.diffnet
• ...

Look for calls to $toa or diffnet.toa(.

[gvegayon]

Hey @twvalente! Here is the space to start discussing how to approach the problem.

[aoliveram]

Currently, toa is a matrix (for multi-diffusion) with one column for each behavior. When a single diffusion is run, the output is the same as before, so there is no need to replace $toa with something like a function for the moment. Let me know if that is enough.