causal-learn
tfcausalimpact
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| causal-learn | tfcausalimpact | |
|---|---|---|
| 1 | 1 | |
| 982 | 576 | |
| 5.2% | - | |
| 7.9 | 3.2 | |
| 12 days ago | 5 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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causal-learn
tfcausalimpact
-
Slight issue with using this causal impact library
i found this library https://github.com/WillianFuks/tfcausalimpact which seems to be a python port of the R library
What are some alternatives?
dowhy - DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
dodiscover - [Experimental] Global causal discovery algorithms
sections - Easy Python tree data structures
looper - A resource list for causality in statistics, data science and physics
HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.
Structure_threader - A wrapper program to parallelize and automate runs of "Structure", "fastStructure" and "MavericK".
directory-structure - :package: Print a directory tree structure in your Python code.
genome_integration - MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.