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 2 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
Improve this page
Add a description, image, and links to the iroas topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the iroas topic, visit your repo's landing page and select "manage topics."