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  1. Add linear models including instrumental variable and panel data models that are missing from statsmodels.

    Python 426 99

  2. ARCH models in Python

    Python 683 165

  3. Numpy-compatible random number generator that supports multiple core psuedo RNGs and explicitly parallel generation.

    Python 41 13

  4. Numpy-compatible bit generators and add some random variate distributions missing from NumPy.

    Python 59 20

  5. Save and load entire workspaces containins pandas objects and numpy arrays

    Python 12 6

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