Metadata-Version: 2.4
Name: SymbolicDSGE
Version: 0.1.6
Summary: A diagnostic symbolic adjustment layer for simple DSGE models. Features a built-in linearized DSGE engine constructed from symbolic expressions. Though in currently in development, the library will provide symbolic regression based measurement correction capabilities. In addition, a heavily constrained symbolic search for model equation-augmentation is being planned, but may never come to life.
Requires-Python: >=3.13
Description-Content-Type: text/markdown
Requires-Dist: ipykernel>=7.1.0
Requires-Dist: linearsolve>=3.6.3
Requires-Dist: matplotlib>=3.10.7
Requires-Dist: numba>=0.62.1
Requires-Dist: numpy>=2.3.5
Requires-Dist: pandas>=2.3.3
Requires-Dist: pysr>=1.5.9
Requires-Dist: pyyaml>=6.0.3
Requires-Dist: scikit-learn>=1.7.2
Requires-Dist: scipy>=1.16.3
Requires-Dist: statsmodels>=0.14.6
Requires-Dist: sympy>=1.14.0
Provides-Extra: notebook
Requires-Dist: ipython>=9.8.0; extra == "notebook"
Provides-Extra: fred
Requires-Dist: fredapi>=0.5.2; extra == "fred"
Requires-Dist: python-dotenv>=1.2.1; extra == "fred"
