google / CausalImpactLinks
An R package for causal inference in time series
☆1,752Updated 2 years ago
Alternatives and similar repositories for CausalImpact
Users that are interested in CausalImpact are comparing it to the libraries listed below
Sorting:
- Causal Inference in Python☆570Updated last month
- Forecasting Functions for Time Series and Linear Models☆1,148Updated 2 months ago
- Working repository for Causal Tree and extensions☆443Updated 3 months ago
- Generalized Random Forests☆1,037Updated last month
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,314Updated 3 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆643Updated 6 months ago
- Lifetime value in Python☆1,469Updated last year
- Tools for causal analysis☆1,077Updated 4 months ago
- Repository with code and slides for a tutorial on causal inference.☆576Updated 5 years ago
- Python port of CausalImpact R library☆290Updated last year
- 🐢 bayesAB: Fast Bayesian Methods for A/B Testing☆315Updated 4 years ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,181Updated last week
- moDel Agnostic Language for Exploration and eXplanation☆1,431Updated 5 months ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆139Updated 5 years ago
- Example models for Stan☆789Updated 2 months ago
- R package for Customer Behavior Analysis☆189Updated last year
- ☆135Updated last year
- iml: interpretable machine learning R package☆500Updated 5 months ago
- A Python package for causal inference in quasi-experimental settings☆1,022Updated last week
- Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.☆424Updated this week
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆898Updated this week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆351Updated 2 years ago
- dplyr-style piping operations for pandas dataframes☆896Updated 3 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,347Updated last year
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆384Updated 3 years ago
- DoubleML - Double Machine Learning in Python☆617Updated last week
- PyStan, the Python interface to Stan☆928Updated 4 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆861Updated 5 years ago
- Python package for causal inference using Bayesian structural time-series models.☆240Updated 4 years ago
- Code and Resources for "Feature Engineering and Selection: A Practical Approach for Predictive Models" by Kuhn and Johnson☆737Updated last year