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 King, Tomz, and Wittenberg (2000) \Sexpr[results=rd]{tools:::Rd_expr_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.

Author(s)

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

Authors:

• Steven Worthington [e-mail] (ORCID)

• Stefano Iacus [e-mail] (ORCID)

• Gary King [e-mail] (ORCID)

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 June 22, 2024, 12:09 p.m.