Association-measures

Latest version: v0.3.0

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0.3.0

- add feature for creating topographic grids
- default to Poisson boundary in LRC
- now requires Python>=3.8, pandas>=2.0

0.2.7

- discounting according to Walter1975 for log-ratio
- make Poisson boundary the default for LRC
- major performance improvement for LRC with Poisson boundary
- further performance improvement: only calculate scores once for each frequency signature

0.2.6

- 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`

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