Estimated Marginal Means and Marginal Effects from Regression Models for ggplot2
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Jun 5, 2026 - R
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marginal-effects
Here are 12 public repositories matching this topic...
An R Port of Stata's 'margins' Command
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Jul 31, 2024 - R
📈 Estimate effects, contrasts and means based on statistical models
ggplot2 r estimate hacktoberfest marginal-effects predict means marginal easystats contrasts contrast-analysis
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Jul 9, 2026 - R
Calculating Marginal Effects and Levels with Errors Using the Delta Method
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Jan 20, 2021 - R
lightweight R package around covariate adjustment for binary outcomes focusing on marginal estimands
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Feb 9, 2026 - R
Main repository for the 2nd paper of my PhD.
causal-inference marginal-effects hormones corticosteroids weighted-regression g-computation endocrine-disruptors neuro-development
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Nov 22, 2024 - HTML
Replication syntax for Öney Ardag 2021
political-science classification logistic-regression political-parties turkey marginal-effects democratization confirmatory-factor-analysis public-opinion-analysis
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Mar 6, 2022 - R
Margins-based comparison and interaction plotting utilities for Stata
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Jul 2, 2026 - Stata
Extended discrete choice modeling notebook with Fair's affair data & STAR98 education analysis. Covers Logit, Probit, GLM, diagnostics, model comparison, marginal effects, and advanced topics like censored regression and count models. Complete with visualizations and validation techniques.
statistical-inference data-analysis logistic-regression statsmodels marginal-effects generalized-linear-models maximum-likelihood-estimation model-comparison statistical-modeling regression-analysis categorical-data binary-choice choice-modeling model-diagnostics discrete-choice-models probit-model
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Feb 20, 2026 - Jupyter Notebook
R Package: Tame your models' output with INTerval-bAsed Marginal Effects!
r-package marginal-effects marginal-effect interpretability ame r-stats average-marginal-effects interpretable-machine-learning interval-based-marginal-effects
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Jul 10, 2019 - R
MMMs-Develop and compare parametric and machine learning models to explain and predict prescription drug sales volume. Estimate marketing response (elasticity, marginal effects) for Detailing and DTCA spending, and produce actionable managerial recommendations.
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Apr 15, 2026 - Python
Python replication of an ordered logit study on sustainability-driven e-commerce purchasing behaviour in Bangalore (n=60). Covers model estimation, link test, marginal effects, and predicted probability curves. Original analysis in Stata, co-authored with Anwesha Sinha.
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Jul 1, 2026 - Jupyter Notebook
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