clarify-package: clarify: Simulation-Based Inference for Regression Models

In clarify: Simulation-Based Inference for Regression Models

clarify: Simulation-Based Inference for Regression Models

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_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.

Author(s)

Maintainer: Noah Greifer [e-mail] (ORCID)

Authors:

• Steven Worthington [e-mail] (ORCID)

• Stefano Iacus [e-mail] (ORCID)

• Gary King [e-mail] (ORCID)

References

Greifer, N., Worthington, S., Iacus, S., & King, G. (2025). clarify: Simulation-Based Inference for Regression Models. The R Journal 16(2), 154–174. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.32614/RJ-2024-015")}

See Also

Useful links:

• https://github.com/iqss/clarify

• https://iqss.github.io/clarify/

• Report bugs at https://github.com/iqss/clarify/issues

clarify documentation built on Nov. 5, 2025, 5:50 p.m.