# Meta Robyn model calibration
**URL:** https://community.intuitivebayes.com/t/meta-robyn-model-calibration/237
**Category:** Causal Inference Book Club
**Created:** [June 9, 2022, 5:25pm UTC](https://community.intuitivebayes.com/t/meta-robyn-model-calibration/237 "2022-06-09T17:25:17Z")
**Posts on this page:** 2
**Page:** 1
### Author:  [@nfultz](https://community.intuitivebayes.com/u/nfultz)
#### Post date: [June 9, 2022, 5:25pm UTC](https://community.intuitivebayes.com/t/meta-robyn-model-calibration/237/1 "2022-06-09T17:25:17Z")
At the NY R conference today, the Meta team presented their MMM package for R:
> **[Robyn](https://facebookexperimental.github.io/Robyn/)**
>
> Robyn is an automated Marketing Mix Modeling (MMM) code. It aims to reduce human bias by means of ridge regression and evolutionary algorithms, enables actionable decision making providing a budget allocator and diminishing returns curves and allows...
They have built a feature where you calibrate the MMM model selection using plug-in estimates from experiments or causal inference.
Seems like an interesting approach, wasn’t enough time in the 15m talk to explain how it worked.
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### Author:  [@nfultz](https://community.intuitivebayes.com/u/nfultz)
#### Post date: [August 11, 2022, 2:35am UTC](https://community.intuitivebayes.com/t/meta-robyn-model-calibration/237/2 "2022-08-11T02:35:29Z")
Here’s the talk btw - [Bernardo Lares & Igor Skokan - Min. Human Bias in Marketing Mix Models using Meta Open Source Robyn - YouTube](https://www.youtube.com/watch?v=AboIsZRzlvQ&feature=youtu.be)