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Cited by 2,706

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

ggeffects: Tidy Data Frames of Marginal Effects from Regression Models

Open access
Lüdecke, Daniel·2018·Journal of Open Source Software

Abstract

Results of regression models, like estimates, are typically presented as tables that are easy to understand.Sometimes pure estimates are not helpful and difficult to interpret.This is especially true for interaction terms in logistic regression or even more complex models, or transformed terms (quadratic or cubic terms, polynomials, splines), where the estimates are no longer interpretable in a direct way.In such cases, marginal effects are far easier to understand.In particular, the visualization of marginal effects makes it possible to intuitively get the idea of how predictors and outcome are associated, even for complex models.

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Metadata

Authors
Lüdecke, D.
Venue
Journal of Open Source Software
Published
2018-06-29
Volume
3
Issue
26
Pages
772
ISSN
2475-9066 (ISSN-L)
OpenAlex
W2809750665
Cited by
2,706
References
1
FWCI
50.36
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: ggeffects: Tidy Data Frames of Marginal Effects from Regression Models. https://app.cochat.ai/papers/10.21105/joss.00772
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Lüdecke, D. (2018). ggeffects: Tidy Data Frames of Marginal Effects from Regression Models. Journal of Open Source Software. https://doi.org/10.21105/joss.00772

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