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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 |
Reference manual: | clarify.pdf |
Vignettes: |
Translating Zelig to clarify clarify |
Package source: | clarify_0.2.1.tar.gz |
Windows binaries: | r-devel: clarify_0.2.1.zip, r-release: clarify_0.2.1.zip, r-oldrel: clarify_0.2.1.zip |
macOS binaries: | r-release (arm64): clarify_0.2.1.tgz, r-oldrel (arm64): clarify_0.2.1.tgz, r-release (x86_64): clarify_0.2.1.tgz, r-oldrel (x86_64): clarify_0.2.1.tgz |
Old sources: | clarify archive |
Reverse suggests: | marginaleffects |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.