This post explores model selection using the Akaike Information Criterion (AIC) in TidyDensity, a package in R. It explains the concept of AIC, provides examples of distribution-specific AIC functions, and demonstrates how to use AIC for model selection.

4m read timeFrom r-bloggers.com
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Table of contents
IntroductionWhat is AIC?Exploring TidyDensity’s Distribution FunctionsHow to Use AIC for Model SelectionConclusion

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