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 results |