clarify
Simulation-Based Inference for Regression Models
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)
- Version0.2.1
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release05/30/2024
Documentation
Team
Noah Greifer
Steven Worthington
Stefano Iacus
Gary King
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- Depends1 package
- Imports7 packages
- Suggests19 packages
- Reverse Suggests1 package