Add a worked vignette showing the multi-grouping recipe end-to-end.
Suggested example: age × gender on POLYMOD (data already in the package), or replicate Manna et al.'s age × wealth recipe on simulated data.
Should include:
- Assigning the grouping (`assign_age_groups()` + reliance on existing `part_`/`cnt_` columns)
- Computing the multi-grouping matrix
- Post-processing (`symmetrise`, `per_capita`)
- Slicing and interpreting the resulting tensor
Tracked under #143.
Add a worked vignette showing the multi-grouping recipe end-to-end.
Suggested example: age × gender on POLYMOD (data already in the package), or replicate Manna et al.'s age × wealth recipe on simulated data.
Should include:
Tracked under #143.