An R package for causal inference in time series
☆1,861Mar 31, 2026Updated 6 months ago
Alternatives and similar repositories for CausalImpact
Users that are interested in CausalImpact are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆679Sep 20, 2026Updated 2 weeks ago
- DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a uni…☆8,338Updated this week
- Anomaly Detection with R☆3,605Aug 30, 2019Updated 7 years ago
- Uplift modeling and causal inference with machine learning algorithms☆6,020Updated this week
- ☆137Feb 18, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Inte…☆4,808Updated this week
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lif…☆267Jun 30, 2026Updated 3 months ago
- ☆167Updated this week
- Tools for causal analysis☆1,081Mar 11, 2025Updated last year
- Forecasting Functions for Time Series and Linear Models☆1,181Oct 3, 2026Updated last week
- An open-source implementation of the geo experiment analysis methodology developed at Google. Disclaimer: This is not an official Google …☆142Oct 3, 2019Updated 7 years ago
- Causal Inference in Python☆579Sep 26, 2026Updated 2 weeks ago
- Python package for causal inference using Bayesian structural time-series models.☆242Jul 30, 2020Updated 6 years ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,485Aug 31, 2026Updated last month
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆20,434Updated this week
- Repository with code and slides for a tutorial on causal inference.☆592Sep 23, 2019Updated 7 years ago
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is…☆1,522Jan 26, 2026Updated 8 months ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆1,242Oct 13, 2025Updated 11 months ago
- Generalized Random Forests☆1,115Apr 30, 2026Updated 5 months ago
- Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆1,356Jan 8, 2022Updated 4 years ago
- An R package for AB testing leveraging pre-period information☆68Nov 21, 2019Updated 6 years ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.☆2,080May 22, 2026Updated 4 months ago
- A Python package for modular causal inference analysis and model evaluations☆836May 26, 2026Updated 4 months ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Machine Learning in R☆1,686Aug 22, 2025Updated last year
- TensorFlow for R☆1,340May 8, 2026Updated 5 months ago
- Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.☆3,484Updated this week
- R interface for Apache Spark☆972Updated this week
- Lifetime value in Python☆1,477Jun 28, 2024Updated 2 years ago
- A Python package for causal inference in quasi-experimental settings☆1,201Updated this week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆359Apr 15, 2026Updated 5 months ago
- Tidy time series forecasting☆592Sep 15, 2026Updated 3 weeks ago
- brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan☆1,433Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Statistical Rethinking course and book package☆2,428Jun 10, 2026Updated 4 months ago
- An index of algorithms for learning causality with data☆3,290Updated this week
- Working repository for Causal Tree and extensions☆449Apr 12, 2025Updated last year
- 🐢 bayesAB: Fast Bayesian Methods for A/B Testing☆312Jun 25, 2021Updated 5 years ago
- Local Interpretable Model-Agnostic Explanations (R port of original Python package)☆494Dec 11, 2025Updated 9 months ago
- Bayesian analysis + tidy data + geoms (R package)☆748Sep 17, 2024Updated 2 years ago
- Time series analysis in the `tidyverse`☆644Aug 29, 2025Updated last year