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clarify: Simulation-Based Inference for Regression Models
Performs simulation-based inference as an alternative to the delta method for obtaining valid confidence intervals and p-values for regression post-estimation quantities, such as average marginal effects and predictions at representative values. This framework for simulation-based inference is especially useful when the resulting quantity is not normally distributed and the delta method approximation fails. The methodology is described in Greifer, et al. (2025) <doi:10.32614/RJ-2024-015>. 'clarify' is meant to replace some of the functionality of the archived package 'Zelig'; see the vignette "Translating Zelig to clarify" for replicating this functionality.
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Package details |
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| Author | Noah Greifer [aut, cre] (ORCID: <https://orcid.org/0000-0003-3067-7154>), Steven Worthington [aut] (ORCID: <https://orcid.org/0000-0001-9550-5797>), Stefano Iacus [aut] (ORCID: <https://orcid.org/0000-0002-4884-0047>), Gary King [aut] (ORCID: <https://orcid.org/0000-0002-5327-7631>) |
| Maintainer | Noah Greifer <ngreifer@iq.harvard.edu> |
| License | GPL (>= 3) |
| Version | 0.2.2 |
| URL | https://github.com/iqss/clarify https://iqss.github.io/clarify/ |
| Package repository | View on CRAN |
| Installation |
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