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Snowflake
- San Francisco, CA
- in/kyleschmaus
Stars
Efficient and easy to use fractional differentiation transformations for stationarizing time series data in Python.
Allows you to maintain all the necessary cruft for packaging and building projects separate from the code you intentionally write. Built on-top of, and fully compatible with, CookieCutter.
Moment-Based Estimation for Hierarchical Models (R Package)