This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
-
Updated
Jun 1, 2023 - Python
#
iroas
Here are 3 public repositories matching this topic...
This repository provides open-source best practices for for conducting geographic randomized controlled trials (Geo RCTs) for measuring incremental sales effect of advertising cammpaigns. It includes details on one design type in particular, a multi-armed stepped experimental design that has particular advantages in terms of statistical strength.
data-science statistics rct advertising experiments roi crt causal-inference marketing-science randomized-controlled-trials marketing-analytics roas incrementality iroas geo-rct
-
Updated
Sep 3, 2025 - Python
Design and read incrementality / lift tests for mobile game UA, then reconcile conflicting platform, MMP, and SKAN numbers into one defensible ROAS. Built for post-ATT measurement where last-click attribution lies. Dependency-free, runs in the browser.
calculator gamedev statistics attribution ab-testing bayesian measurement ua mmp holdout marketing-analytics free-to-play performance-marketing user-acquisition roas mobile-games incrementality iroas lift-test skan
-
Updated
Jun 29, 2026 - HTML
Add this topic to your repo
To associate your repository with the iroas topic, visit your repo's landing page and select "manage topics."