SparseSC
latest

Contents:

  • Overview
  • Fitting Sparse Synthetic Controls
  • Synthetic Differences in Differences
  • Model Types
  • API Reference
  • Running Jobs in Parallel with Azure Batch
  • Developer Notes

Examples:

  • Anomaly Detection
SparseSC
  • Docs »
  • Welcome to SparseSC’s 0.2.0 documentation!
  • Edit on GitHub

Welcome to SparseSC’s 0.2.0 documentation!¶

Contents:

  • Overview
    • Data
    • Synthetic Controls
    • SparseSC
    • Custom donor pools
    • Model types
  • Fitting Sparse Synthetic Controls
    • Feature and Target Data
    • Data and Model Type
    • Fit (Joint)
    • Fit_fast (Separate)
    • Advanced Topics
  • Synthetic Differences in Differences
    • Feature and Target Data
    • Statistical parameters
    • Additional parameters
  • Model Types
    • Retrospective Treatment Effects
    • Prospective Treatment Effects
    • Prospective Treatment Effects training
    • Prospective Failure Detection
    • Summary
  • API Reference
    • Estimate Treatment Effects
    • Fit a Synthetic Controls Model (Slow, Joint)
    • Fit a Synthetic Controls Model (Fast, Separate)
  • Running Jobs in Parallel with Azure Batch
    • Setup
    • Cleaning Up
    • Solving
    • FAQ
  • Developer Notes
    • Python environments
    • Building the docs
    • Running examples
    • Testing
    • Release Process

Examples:

  • Anomaly Detection
    • Overview
    • Example
    • Model Details:

Indices and tables¶

  • Index
  • Module Index
Next

© Copyright 2018, Jason Thorpe, Brian Quistorff, Matt Goldman Revision 4cf0a988.

Built with Sphinx using a theme provided by Read the Docs.