Mathematics
8 years ago

Revolutionizing Data Analysis: Unleashing the Power of Generalized Additive Models

Generalized Additive Models: An Introduction with R, Second Edition
Simon N. Wood

Paper Summary

The article introduces Generalized Additive Models (GAMs) using R software. It covers linear models, GLMs, and GAM theory, with practical examples like cherry trees and brain imaging. The researchers explain how to set up GAMs, estimate smoothing parameters, and apply them to various data sets. The article also discusses mixed models and GAMMs for more complex data analysis. Overall, it provides a comprehensive guide to using GAMs for modeling and analyzing different types of data.

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