From Model to Meaning: How to use the marginaleffects R package to interpret results from statistical or machine learning models workshop

Join our workshop on From Model to Meaning: How to use the marginaleffects R package to interpret results from statistical or machine learning models, which is a part of our workshops for Ukraine series! 

Here’s some more info: 

Title: From Model to Meaning: How to use the marginaleffects R package to interpret results from statistical or machine learning models

Date: Thursday, August 14th, 18:00 – 20:00 CEST (Rome, Berlin, Paris timezone)

Speaker: Vincent Arel‑Bundock is a Professor of Political Science who conducts research and teaches on political economy and research methods. He is an advocate of transparent and reproducible research, and an active developer of open source software. He maintains several statistical software libraries for R and Python, including marginaleffects, modelsummary, and tinytable.

Description: Our world is complex. To make sense of it, data analysts routinely fit sophisticated statistical or machine learning models. Interpreting the results produced by such models can be challenging, and researchers often struggle to communicate their findings to colleagues and stakeholders. This tutorial is designed to bridge that gap. It offers a practical guide to model interpretation for analysts who wish to communicate their results in a clear and impactful way. Tutorial attendees will be introduced to the marginaleffects package and to the conceptual framework that underpins it. The marginaleffects package for R offers a single point of entry for computing and plotting predictions, counterfactual comparisons, slopes, and hypothesis tests for over 100 different types of models. The package provides a simple and unified interface, is well-documented with extensive tutorials, and is model-agnostic—ensuring that users can extract meaningful quantities regardless of the modeling framework they use. The book Model to Meaning: How to Interpret Statistical Results Using marginaleffects for R (forthcoming with CRC Chapman & Hall) introduces a powerful conceptual framework to help analysts make sense of complex models. It demonstrates how to extract meaningful quantities from model outputs and communicate findings effectively using marginaleffects. This tutorial will provide participants with a deep understanding of how to use marginaleffects to improve model interpretation. Attendees will learn how to compute and visualize key statistical summaries, including marginal means, contrasts, and slopes, and how to leverage marginaleffects for hypothesis and equivalence testing. The package follows tidy principles, ensuring that results integrate seamlessly with workflows in R, and with other packages such as ggplot2, Quarto, and modelsummary. This tutorial is suitable for data scientists, researchers, analysts, and students who fit statistical models in R and seek an easy, reliable, and transparent approach to model interpretation. No advanced mathematical background is required, but familiarity with generalized linear models like logistic regression is assumed.

Minimal registration fee: 20 euro (or 20 USD or 800 UAH)

Please note that the registration confirmation is sent 1 day before the workshop to all registered participants rather than immediately after registration

How can I register?

• Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or  https://bit.ly/3PFxtNA and donate at least 20 euro. Feel free to donate more if you can, all proceeds go directly to support Ukraine.

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the registration form, attaching a screenshot of a donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after donation).

If you are not personally interested in attending, you can also contribute by sponsoring a participation of a student, who will then be able to participate for free. If you choose to sponsor a student, all proceeds will also go directly to organisations working in Ukraine. You can either sponsor a particular student or you can leave it up to us so that we can allocate the sponsored place to students who have signed up for the waiting list.

How can I sponsor a student?

• Go to https://bit.ly/3wvwMA6 or https://bit.ly/4aD5LMC  or https://bit.ly/3PFxtNA and donate at least 20 euro (or 17 GBP or 20 USD or 800 UAH). Feel free to donate more if you can, all proceeds go to support Ukraine!

• Save your donation receipt (after the donation is processed, there is an option to enter your email address on the website to which the donation receipt is sent)

• Fill in the sponsorship form, attaching the screenshot of the donation receipt (please attach the screenshot of the donation receipt that was emailed to you rather than the page you see after the donation). You can indicate whether you want to sponsor a particular student or we can allocate this spot ourselves to the students from the waiting list. You can also indicate whether you prefer us to prioritize students from developing countries when assigning place(s) that you sponsored.

If you are a university student and cannot afford the registration fee, you can also sign up for the waiting list here. (Note that you are not guaranteed to participate by signing up for the waiting list).

You can also find more information about this workshop series,  a schedule of our future workshops as well as a list of our past workshops which you can get the recordings & materials here.

Looking forward to seeing you during the workshop!