11 сент. 2023 г. · Binomial is for data where the dependent variable in each row is the number of “true” in a set of “trials”, in which case both numbers ned to be ...

4 июн. 2023 г. · I'm getting strange results from fitting a non-linear model with brms based on proportion data in R. Reproducible example with data and code below.

This is a description of how to fit the models in Probability and Bayesian Modeling using the Stan software and the brms package.

In this chapter, we focus on the two most common types of count models: the binomial and the Poisson.

23 сент. 2024 г. · The brms package comes with a lot of built-in response distributions – usually called families in R – to specify among others linear, count data, survival, ...

13 окт. 2019 г. · My research question is: is the rate of forgetting (slope) influenced by the degree of encoding? So I have three encoding degrees and three time intervals.

15 мая 2023 г. · Use R, Stan, and {brms} to calculate differences between categorical proportions in a principled Bayesian way.

The brms package implements Bayesian multilevel models in R using the probabilis- tic programming language Stan. A wide range of distributions and link ...

22 мая 2023 г. · I think it is just about time to disallow not specifying trials() in binomial families altogether. It has been deprecated long enough.

18 апр. 2022 г. · Here I illustrate how to fit GLMMs with the R package brms, and compare to Jags and lme4.