{math}[foss/2023b] tigramite v5.2.8.2

easybuild/easyconfigs/t/tigramite/tigramite-5.2.8.2-foss-2023b.eb

@@ -0,0 +1,33 @@
+# Author: Stamen Miroslavov <stamen.miroslavov@bsc.es>
+# Barcelona Supercomputing Center 2026
+
+easyblock = 'PythonPackage'
+
+name = 'tigramite'
+version = '5.2.8.2'
+
+homepage = 'https://github.com/jakobrunge/tigramite'
+description = """Tigramite is a causal inference for time series python package. It allows to
+ efficiently estimate causal graphs from high-dimensional time series datasets (causal discovery)
+ and to use graphs for robust forecasting and the estimation and prediction of direct, total, and
+ mediated effects. Causal discovery is based on linear as well as non-parametric conditional
+ independence tests applicable to discrete or continuously-valued time series. Also includes
+ functions for high-quality plots of the results."""
+
+toolchain = {'name': 'foss', 'version': '2023b'}
+
+sources = [SOURCE_TAR_GZ]
+checksums = ['bfc28bbb94fbff0306b8cdd0c9d4bac3fa9d34cfacf4c0ad94b405343797019e']
+
+dependencies = [
+    ('Python', '3.11.5'),
+    ('Python-bundle-PyPI', '2023.10'),
+    ('matplotlib', '3.8.2'),
+    ('SciPy-bundle', '2023.11'),
+    ('numba', '0.60.0'),
+    ('scikit-learn', '1.4.0'),
+    ('networkx', '3.2.1'),
+    ('Seaborn', '0.13.2'),
+]
+
+moduleclass = 'math'