diff --git a/README.md b/README.md index 9b7bc09..7db2f0f 100644 --- a/README.md +++ b/README.md @@ -25,7 +25,7 @@ the [`causality.estimation`](https://github.com/akelleh/causality/tree/master/ca ## DAG Inference -The `causality.inference` module will contain various algorithms for inferring causal DAGs. Currently (2016/01/23), the only algorithm implemented is the IC\* algorithm from Pearl (2000). It has decent test coverage, but feel free to write some more! I've left some stubs in `tests/unit/test\_IC.py`. +The `causality.inference` module will contain various algorithms for inferring causal DAGs. Currently (2016/01/23), the only algorithm implemented is the IC\* algorithm from Pearl (2000). It has decent test coverage, but feel free to write some more! I've left some stubs in `tests/unit/test_IC.py`. To run a graph search on a dataset, you can use the algorithms like (using IC\* as an example):