xuanyin / causal-mediation-analysis-for-ab-testsLinks
The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
☆24Updated 3 years ago
Alternatives and similar repositories for causal-mediation-analysis-for-ab-tests
Users that are interested in causal-mediation-analysis-for-ab-tests are comparing it to the libraries listed below
Sorting:
- ☆97Updated 7 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆118Updated 4 years ago
- ☆44Updated 4 years ago
- Documentation for the DALEX project☆36Updated last year
- Fit Sparse Synthetic Control Models in Python☆87Updated last year
- Implementing MCMC sampling from scratch in R for various Bayesian models☆111Updated last year
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- Policy learning via doubly robust empirical welfare maximization over trees☆85Updated 3 months ago
- Packages of Example Data for The Effect☆149Updated last year
- ☆135Updated last year
- R based marketing attribution and basic budget optimization using Markov Chains☆52Updated 6 years ago
- Methods for heterogeneous treatment effect estimation☆24Updated 3 years ago
- R-Package for estimating CLV☆59Updated last week
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 3 months ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆172Updated last year
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27Updated 2 years ago
- Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies☆81Updated 5 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Updated 6 months ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years 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
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆60Updated 3 years ago
- ☆50Updated 7 years ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago
- Some notes on techniques for variance reduction to increase the power of A/B tests☆14Updated 6 years ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆196Updated last year
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆30Updated 9 years ago
- 💊 Comparing causality methods in a fair and just way.☆140Updated 5 years ago
- ☆34Updated 3 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆54Updated 8 years ago
- Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development☆60Updated 5 years ago