Standard life tables, populations, and health metrics, in R, Python, and C++.
- Best known methods for global health.
- Clearly-stated behavior for missing data and out-of-bounds data.
- Optimized for processing multiple populations and multiple trajectories.
- Documented with citations.
The core library is in C++. This same repository can be installed as an R module or a Python package.