This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
β72Jun 1, 2023Updated 2 years ago
Alternatives and similar repositories for trimmed_match
Users that are interested in trimmed_match are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Matched Markets is a Python library for design and analysis of Geo experiments using Matched Markets and Time Based Regression.β97Aug 21, 2025Updated 9 months ago
- LightweightMMM π¦ is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channeβ¦β1,044Jun 17, 2025Updated 11 months ago
- GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lifβ¦β250May 9, 2026Updated 2 weeks ago
- Causal Impact of an intervention integrated with control group selectionβ10Sep 11, 2022Updated 3 years ago
- Cluster multilingual search terms captured from different time windows into semantically relevant topics.β36Jul 30, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer β’ AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- β115Updated this week
- Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission isβ¦β1,463Jan 26, 2026Updated 3 months ago
- Code to statistically up-weight conversion values of consenting customers to feed up to 100% of the factual conversion values back into Gβ¦β26Jan 12, 2026Updated 4 months ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhukβ¦β16Feb 3, 2021Updated 5 years ago
- Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROASβ402May 28, 2022Updated 3 years ago
- This tutorial shows users how to evaluate advertising response using last click attribution, experiments, marketing mix models and attribβ¦β28Feb 22, 2018Updated 8 years ago
- A cutting-edge AI dubbing solution designed to enhance the global reach of digital advertising.β66Updated this week
- Comprehensive system for monitoring changes and fluctuations in Google Adsβ25Updated this week
- β64Apr 16, 2026Updated last month
- Proton VPN Special Offer - Get 70% off β’ AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- β22Jul 21, 2023Updated 2 years ago
- Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.β1,151May 17, 2026Updated last week
- A package to compute a marketing mix model.β74Jul 30, 2023Updated 2 years ago
- A rolling version of the Latent Dirichlet Allocation.β13Nov 27, 2023Updated 2 years ago
- Product Video Ads is a solution to build video Ads at scale.β69Apr 17, 2026Updated last month
- Utility functions to support analytics over FHIR in BigQuery or Apache Sparkβ15Jan 8, 2024Updated 2 years ago
- OLS Weights on Heterogeneous Treatment Effectsβ10Jun 15, 2020Updated 5 years ago
- A repo comparing syntax in R and Python for various tasks. Not comprehensive, but a subset of lines to get one startedβ12Dec 3, 2018Updated 7 years ago
- β17Jun 18, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient β’ AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- β14Nov 17, 2021Updated 4 years ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.β671Jan 13, 2025Updated last year
- A Python package for causal inference in quasi-experimental settingsβ1,143May 18, 2026Updated last week
- β21Jul 22, 2024Updated last year
- β17Apr 24, 2023Updated 3 years ago
- Sequential Sample Ratio Mismatch(SRM) Testβ13Dec 16, 2021Updated 4 years ago
- Bayesian Black Box Hyper Parameter Optimizerβ12May 3, 2017Updated 9 years ago
- β12Apr 10, 2018Updated 8 years ago
- A list of blogs, videos, and other content that provides advice on building experimentation and A/B testing platformsβ167May 3, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off β’ AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A python package for learning prior distributions based on expert knowledgeβ18Nov 12, 2025Updated 6 months ago
- Progress Every Dayβ10Apr 11, 2023Updated 3 years ago
- Archive of NBA Elo data (updated from FiveThirtyEight version)β16Apr 14, 2025Updated last year
- β92Jun 24, 2023Updated 2 years ago
- Code for the article Modeling Marketing Mix using PyMC3β28Feb 21, 2022Updated 4 years ago
- Script(s) to pull Adobe Analytics data (for now) and take advantage of the "forecast" (Holt Winters-based) data provided by the Adobe Anaβ¦β11Jan 1, 2017Updated 9 years ago
- Python package for causal inference using Bayesian structural time-series models.β244Jul 30, 2020Updated 5 years ago