How to Interpret Statistical Models Using marginaleffects for R and Python

TL;DR


Summary:
- This article presents a comprehensive overview of the R package "Rcpp", which provides a seamless integration between C++ and the R programming language.
- The package allows R users to easily call C++ functions from within R, enabling the use of highly efficient C++ code for computationally intensive tasks while still benefiting from the flexibility and ease of use of the R environment.
- The article discusses the key features and capabilities of Rcpp, including its support for data types, function calls, and the integration with the Rcpp Attributes system, which simplifies the process of creating R-callable C++ functions.

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