Shiny App: Impact of Default Priors

S.C. Smid, S.D. Winter

Research output: Non-textual formSoftwareAcademic

Abstract

This Shiny App is created as an educational tool to show how varying prior distributions can affect parameter estimates in a Bayesian Latent Growth Model under varying sample sizes.
Original languageEnglish
Publication statusPublished - 1 May 2019

Fingerprint

Dive into the research topics of 'Shiny App: Impact of Default Priors'. Together they form a unique fingerprint.

Cite this