ChaunceyKung / CausalMMMLinks
CausalMMM: Learning Causal Structure for Marketing Mix Modeling
☆11Updated last year
Alternatives and similar repositories for CausalMMM
Users that are interested in CausalMMM are comparing it to the libraries listed below
Sorting:
- A Python package for causal inference using Synthetic Controls☆192Updated last year
- Fit Sparse Synthetic Control Models in Python☆87Updated last year
- ☆90Updated 2 years ago
- Synthetic difference in differences for Python☆85Updated 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
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS☆390Updated 3 years ago
- Data, Benchmarks, and methods submitted to the M5 forecasting competition☆640Updated 2 years ago
- Power analysis and AB test analysis library☆46Updated this week
- ☆124Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆24Updated last week
- DoubleML - Double Machine Learning in Python☆665Updated last week
- CausalLift: Python package for causality-based Uplift Modeling in real-world business☆349Updated 2 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆67Updated last year
- Code and notebooks for my Medium blog posts☆129Updated last year
- siMMMulator is an open source R-package that helps users to generate simulated data to plug into Marketing Mix Models (MMMs). The package…☆56Updated last year
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆107Updated last month
- Python implementation of Shapley value for multi touch attribution modeling☆28Updated 3 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆654Updated 9 months ago
- A python module for the synthetic control method☆76Updated 6 months ago
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.☆92Updated 2 months ago
- Code for the Book Causal Inference in Python☆346Updated last year
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- Fixedeffectmodel: panel data modeling in Python☆79Updated 3 years ago
- A package to compute a marketing mix model.☆72Updated 2 years ago
- This is the repository for the Python library mlsynth☆44Updated 3 weeks ago
- ☆116Updated 6 years ago
- ☆363Updated last year
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.☆966Updated this week
- Forecast Reconciliation - Classical (bottom-up), optimal and heuristic combination forecast reconciliation procedures for cross-sectional…☆37Updated last week
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago