- force np.vectorize to return float, otherwise conservative log ratio might be rounded to integer
0.2.5
- repair measuring performance - do not calculate binomial likelihood by default
0.2.4
make calculation of conservative log ratio with Poisson boundary robust against observations with O11=O21=0: return 0.
0.2.3
- `setup.py`: installation under Windows should work properly now - deprecated `calculate_measures()` - correction in `liddell()` - allow integers to be passed to `observed_frequencies()`; extend functionality - don't use methods to be tested in `conftest.py`
0.2.2
- new AM: conservative log ratio with correct CI boundary from Poisson distribution (Evert 2022) - include `wheel` as build dependency in `pyproject.toml` - use `score()` rather than `calculate_measures()` in tests; extend propagation of `score()` parameters - include `pytest.ini` - simplify `setup.py`
0.2.1
update requirements - maximum of version numbers s.t. python3.6 - specify wheel as requirement (for building)