In order to ensure compatibility of most brms models with emmeans, predictions are not generated 'manually' via a design matrix and coefficient vector, but ...

23 сент. 2024 г. · In order to ensure compatibility of most brms models with emmeans, predictions are not generated 'manually' via a design matrix and coefficient ...

20 авг. 2021 г. · I have a question about the use of emmeans package with brm hurdle models from the brms package. To illustrate the issue/question, ...

20 мар. 2023 г. · Have you had any success using emmeans for a multivariate brms model, or found a good work-around?

Functions required for compatibility of brms with emmeans. Users are not required to call these functions themselves. Instead, they will be called automatically ...

7 окт. 2021 г. · I have recently discovered that emmeans is compatible with the brms package, but am having trouble getting it to work. I will conduct an example ... Extracting draws from posterior after using emmeans and hpd ... How to follow-up on brms categorical model with emmeans to see ... Другие результаты с сайта stackoverflow.com

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan - brms/R/emmeans.R at master · paul-buerkner/brms.

This vignette explains how brms.mmrm conducts posterior inference on a fitted MMRM model using estimated marginal means.

Description. Functions required for compatibility of brms with emmeans. Users are not required to call these functions themselves. Instead, they will be called ...

9 мая 2022 г. · Create, manipulate, understand, analyze, interpret, and plot Bayesian hurdle regression models (and a custom hurdle Gaussian model!)