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clarify  

Simulation-Based Inference for Regression Models
View on CRAN: Click here


Download and install clarify package within the R console
Install from CRAN:
install.packages("clarify")

Install from Github:
library("remotes")
install_github("cran/clarify")

Install by package version:
library("remotes")
install_version("clarify", "0.2.1")



Attach the package and use:
library("clarify")
Maintained by
Noah Greifer
[Scholar Profile | Author Map]
First Published: 2023-01-25
Latest Update: 2023-09-21
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) . '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.
How to cite:
Noah Greifer (2023). clarify: Simulation-Based Inference for Regression Models. R package version 0.2.1, https://cran.r-project.org/web/packages/clarify. Accessed 07 Apr. 2025.
Previous versions and publish date:
0.1.0 (2023-01-25 11:10), 0.1.1 (2023-02-03 14:22), 0.1.2 (2023-02-22 16:40), 0.1.3 (2023-05-04 08:50), 0.2.0 (2023-09-21 22:10)
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