--- title: Exploring Model Selection with TidyDensity:... description: This post explores model selection using the Akaike Information Criterion (AIC) in TidyDensity, a package in R. It explains the concept of AIC, provides... canonical: https://daily.dev/posts/exploring-model-selection-with-tidydensity-understanding-aic-for-statistical-distributions-ux5js3chz twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Exploring Model Selection with TidyDensity: Understanding AIC for Statistical Distributions | daily.dev og:description: This post explores model selection using the Akaike Information Criterion (AIC) in TidyDensity, a package in R. It explains the concept of AIC, provides... og:url: https://daily.dev/posts/exploring-model-selection-with-tidydensity-understanding-aic-for-statistical-distributions-ux5js3chz og:image: https://api.daily.dev/og/posts/uX5js3CHz.png og:image:alt: Exploring Model Selection with TidyDensity: Understanding AIC for Statistical Distributions og:image:width: 1200 og:image:height: 630 og:locale: 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: --- 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) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"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","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/exploring-model-selection-with-tidydensity-understanding-aic-for-statistical-distributions-ux5js3chz"},"datePublished":"2024-05-06T20:05:07.807Z","dateModified":"2024-05-09T08:43:33.910Z","description":"This post explores model selection using the Akaike Information Criterion (AIC) in TidyDensity, a package in R. It explains the concept of AIC, provides...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/e464a8b9a77b72ff27fb5b45ddf5a3bf?_a=AQAEuiZ","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/e464a8b9a77b72ff27fb5b45ddf5a3bf?_a=AQAEuiZ","isAccessibleForFree":true,"articleSection":"R-bloggers","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"R-bloggers","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/98bcbbdf72774292a55ceda8f2277f1e","url":"https://daily.dev/sources/rbloggers"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/exploring-model-selection-with-tidydensity-understanding-aic-for-statistical-distributions-ux5js3chz","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"r,statistics","timeRequired":"PT4M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"R-bloggers","item":"https://daily.dev/sources/rbloggers"},{"@type":"ListItem","position":3,"name":"Exploring Model Selection with TidyDensity: Understanding AIC for Statistical Distributions"}]} ```