This vignette provides an overview of how the specification of prior distributions works in the rstanarm package.

The default priors used in the various rstanarm modeling functions are intended to be weakly informative in that they provide moderate regularization and help ...

The prior_summary method provides a summary of the prior distributions used for the parameters in a given model. In some cases the user-specified prior does ...

4 апр. 2019 г. · I'm developing a Bayesian regression model through rstanarm that combines multinomial, binomial, and scale predictors on a scale dependent variable. How to put different priors using rstanarm - Stack Overflow How to specify random coefficients priors in rstanarm? Standardizing priors in rstanarm Bayesian regressions How to specify "strict" priors for fixed coefficients in rstanarm? Другие результаты с сайта stackoverflow.com

Part of the rstanarm package for estimating model parameters # Copyright (C) 2015, 2016, 2017 Trustees of Columbia University # # This program is free ...

This is a workshop introducing modeling techniques with the rstanarm and brms packages.

16 янв. 2024 г. · The default priors in rstanarm are designed to be weakly informative, by which we mean that they avoid placing unwarranted prior weight on ...

1 сент. 2022 г. · I want to learn how to fit custom priors to perform better regression analysis but I'm really struggling to learn what I want to learn from the ...

22 июл. 2020 г. · I want to know how to specify several independent priors in the stan_glm() function. Description: I am using the function stan_glm ...

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Опубликовано: 1 дек. 2020 г.