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.">

clarify: Simulation-Based Inference for Regression Models (original) (raw)

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.

Version: 0.2.2
Depends: R (≥ 4.1.0)
Imports: ggplot2 (≥ 3.5.0), pbapply (≥ 1.7-4), chk (≥ 0.10.0), 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)
Published: 2025-09-19
DOI: 10.32614/CRAN.package.clarify
Author: Noah Greifer ORCID iD [aut, cre], Steven WorthingtonORCID iD [aut], Stefano Iacus ORCID iD [aut], Gary King ORCID iD [aut]
Maintainer: Noah Greifer
BugReports: https://github.com/iqss/clarify/issues
License: GPL (≥ 3)
URL: https://github.com/iqss/clarify, https://iqss.github.io/clarify/
NeedsCompilation: no
Citation: clarify citation info
Materials: README, NEWS
CRAN checks: clarify results

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