Simulation-Based Inference for Regression Models R package clarify version 0.2.3 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. Software Depends: R (>= 4.1.0) Imports: arg (>= 0.1.1), ggplot2 (>= 3.5.0), pbapply (>= 1.7-4), cli (>= 3.6.5), rlang (>= 1.1.6), insight (>= 1.4.2), marginaleffects (>= 0.30.0) Suggests: testthat (>= 3.0.0), withr, MatchIt (>= 4.0.0), parallel, knitr, rmarkdown, Amelia, MASS, betareg, survey, estimatr, fixest, logistf, geepack, rms, robustbase, robust, AER, ivreg, mgcv, sandwich, WeightIt (>= 1.3.2) Noah Greifer <ngreifer@iq.harvard.edu> Comprehensive R Archive Network (CRAN) 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>) GPL (>= 3) 2026-06-08 application/tgz https://CRAN.R-project.org/package=clarify doi:10.32614/CRAN.package.clarify