[0.5.1] - 2024-07-09

Count splitting:
- output_type = 'rate' satisfies the condition that the population weighted mean of the post-split result adds up to the pre-split value.
- output_type = 'total' satisfies the condition that the SUM of the post-split results adds up to the pre-split value.
Age splitting columns:
- Population_total: the sum of age group specific populations across a study.
- Population_proportion: the normalized population in each post-split group.
- Implication: can multiply population_proportion by sample study size to get the post-split pseudo sample sizes.

[0.5.0] - 2024-06-17

Sex splitting API, it requires data, ratio pattern, population. It assumes the ratio is female/male (requires draw mean and standard error).
Propagating Zeros, there is now an optional argument to the end of the split function in AgeSplitter, propagate_zeros=False which can now be switched to True if there are 0s that you’d like to keep. WARNING This changes standard error of the estimate to be 0 as well. Short reason: we assume a binomial distribution that is strictly positive.

Restructured files, which will change import call in python but should not impact R users.
Age-splitting API now has “Age” appended to the front of the config files for clarity/ consistency (DataConfig -> AgeDataConfig).
Error messages. Thanks to the feedback from the users we have changed the error messaging to be more succinct.

If a study had an age range fully contained within a single age group pattern it would error with “pattern not found”. This is now rectified and the study should be passed through. Keep in mind that the pre-split and post-split values will be the same.