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.
Table of contents
IntroductionWhat is AIC?Exploring TidyDensity’s Distribution FunctionsHow to Use AIC for Model SelectionConclusionSort: