A Python package for causal inference using Synthetic Controls
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Updated
Jan 25, 2024 - Python
A Python package for causal inference using Synthetic Controls
A PyTorch implementation of the "robust" synthetic control model
UMAPS data project that cleans, standardizes, and visualizes alumni and participation records to support program reporting, strategic planning, and institutional memory.
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