shinybrms: Fitting Bayesian Regression Models Using a Graphical User Interface for the R Package brms.

R J.(2022)

引用 0|浏览4
暂无评分
摘要
Despite their advantages, the application of Bayesian regression models is still the exception compared to frequentist regression models. Here, we present our R package shinybrms which provides a graphical user interface for fitting Bayesian regression models, with the frontend consisting of a shiny app and the backend relying on the R package brms which in turn relies on Stan. With shinybrms, we hope that Bayesian regression models (and regression models in general) will become more popular in applied research, data analyses, and teaching. Here, we illustrate our graphical user interface by the help of an example from medical research.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要