google / CausalImpactLinks
An R package for causal inference in time series
☆1,765Updated 3 weeks ago
Alternatives and similar repositories for CausalImpact
Users that are interested in CausalImpact are comparing it to the libraries listed below
Sorting:
- Generalized Random Forests☆1,050Updated 2 weeks ago
- Forecasting Functions for Time Series and Linear Models☆1,153Updated last week
- Causal Inference in Python☆573Updated 4 months ago
- Working repository for Causal Tree and extensions☆447Updated 6 months ago
- Tools for causal analysis☆1,076Updated 7 months ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆654Updated 9 months ago
- Repository with code and slides for a tutorial on causal inference.☆583Updated 6 years ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,329Updated 3 years ago
- R package for Customer Behavior Analysis☆189Updated last year
- Lifetime value in Python☆1,467Updated last year
- Example models for Stan☆787Updated 5 months ago
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆140Updated 6 years ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,202Updated last week
- 🐢 bayesAB: Fast Bayesian Methods for A/B Testing☆314Updated 4 years ago
- A Python package for causal inference in quasi-experimental settings☆1,046Updated last week
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆960Updated last week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆349Updated 2 years ago
- Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. …☆2,690Updated last week
- PyStan, the Python interface to Stan☆927Updated 4 years ago
- ☆136Updated last year
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆219Updated last month
- Survival analysis in Python☆2,510Updated 11 months ago
- Bayesian Data Analysis demos for R☆584Updated last month
- The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML☆785Updated 4 months ago
- iml: interpretable machine learning R package☆501Updated 8 months ago
- dplyr-style piping operations for pandas dataframes☆900Updated 3 years ago
- ☆289Updated 2 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,380Updated last year
- DoubleML - Double Machine Learning in Python☆665Updated this week
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆389Updated 3 years ago