Grouping marginalizations in Python

[charlesbmi]

Is there a straightforward way to replicate the MATLAB implementation's 'combinedParams' behavior using the Python dPCA code? I would like to do a grouping similar to the stimulus, decision, interaction, and time grouping shown in the MATLAB demo.

For an example stimulus-group, would I simply add the s and the st components to get the "first stimulus-group component", and also add the explained variances?

(I know this project is not under maintenance anymore, so I can also use the MATLAB version if that is easier.)