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 King, Tomz, and Wittenberg (2000) <doi:10.2307/2669316>. '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: 0.2.1 Depends: R (≥ 3.5.0) Imports: ggplot2 (≥ 3.4.0), pbapply (≥ 1.7-0), chk (≥ 0.9.0), rlang (≥ 1.0.6), insight (≥ 0.19.11), marginaleffects (≥ 0.20.0), mvnfast (≥ 0.2.6) Suggests: testthat (≥ 3.0.0), MatchIt (≥ 4.0.0), parallel, knitr, rmarkdown, Amelia, MASS, betareg, survey, estimatr, fixest, logistf, geepack, rms, robustbase, robust, AER, ivreg, mgcv, sandwich Published: 2024-05-30 DOI: 10.32614/CRAN.package.clarify Author: Noah Greifer [aut, cre], Steven Worthington [aut], Stefano Iacus [aut], Gary King [aut] Maintainer: Noah Greifer <ngreifer at iq.harvard.edu> BugReports: https://github.com/iqss/clarify/issues License: GPL (≥ 3) URL: https://github.com/iqss/clarify, https://iqss.github.io/clarify/ NeedsCompilation: no Materials: README NEWS CRAN checks: clarify resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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