Merge pull request #199 from jakobrunge/developer

added confidence interval estimation for causal effects
jakobrunge · Apr 1, 2022 · a76f1fa · a76f1fa
2 parents 46b4344 + e40ccbb
commit a76f1fa
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diff --git a/release_on_pip.sh b/release_on_pip.sh
@@ -28,7 +28,7 @@ git checkout master
 # Run all those in Linux or Windows
 
 # Packages needed for setup (the parameter "--use-feature=2020-resolver" may not be necessary anymore soon )
-pip install --use-feature=2020-resolver --upgrade setuptools wheel twine auditwheel
+pip install --upgrade setuptools wheel twine auditwheel
 
 # Install the package itself in the environment
 pip install -e .['dev']

diff --git a/setup.py b/setup.py
@@ -63,7 +63,7 @@ def run(self):
 # Run the setup
 setup(
     name="tigramite",
-    version="5.0.1.5",
+    version="5.0.1.6",
     packages=["tigramite", "tigramite.independence_tests", "tigramite.toymodels"],
     license="GNU General Public License v3.0",
     description="Tigramite causal discovery for time series",