---
title: "Exploring Model Selection with TidyDensity: Understanding AIC for Statistical Distributions"
url: https://daily.dev/posts/exploring-model-selection-with-tidydensity-understanding-aic-for-statistical-distributions-ux5js3chz
source_url: https://www.r-bloggers.com/2024/05/exploring-model-selection-with-tidydensity-understanding-aic-for-statistical-distributions/
type: article
source: "R-bloggers"
published: 2024-05-06T20:05:07.807Z
updated: 2024-05-09T08:43:33.910Z
tags: ["r", "statistics"]
reading_time: 4
upvotes: 0
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Exploring Model Selection with TidyDensity: Understanding AIC for Statistical Distributions

**[R-bloggers](https://daily.dev/sources/rbloggers)** · 4 min read · 0 upvotes · 0 comments

## Summary

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.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.r-bloggers.com/2024/05/exploring-model-selection-with-tidydensity-understanding-aic-for-statistical-distributions/>

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---

Tags: [#r](https://daily.dev/tags/r), [#statistics](https://daily.dev/tags/statistics)

[View this post on daily.dev](https://daily.dev/posts/exploring-model-selection-with-tidydensity-understanding-aic-for-statistical-distributions-ux5js3chz)