16 июл. 2021 г. · I'm stuck on setting an informative prior to a brms bernoulli model using logit link. Possibly the logit link causes confusion for me.

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. Interpreting Coefficients of brms Bernoulli family model Response variable with values 0 and 1: logistic regression vs ... Другие результаты с сайта stats.stackexchange.com

11 февр. 2020 г. · I have a dependent variable, denoted REP, binary (1 or 0). I wish to predict the probability of answering 1 with a non-linear model.

In brms, the default link for both family = bernoulli and family = binomial models is logit , which is exactly what we want, here. Also, note the additional | ...

Families bernoulli , binomial , and beta_binomial can be used for binary regression (i.e., most commonly logistic regression). Families categorical and ...

Note that in brms we used family = bernoulli() . In other R functions, such as glm , they do not distinguish between bernoulli and Binomial and only ...

14 окт. 2019 г. · This tutorial provides an introduction to Bayesian GLM (genearlised linear models) with non-informative priors using the brms package in R.

23 июл. 2018 г. · I fit a straight-forward two-level bernoulli model: m <- brm(z ~ 1 + x + (x|group), d, family=bernoulli(), prior) When I calculate the ...

10 окт. 2024 г. · With Bernoulli the default link function is logit, and thus the prior is set on logit(theta). As there are no covariates logit(theta)=Intercept.

17 февр. 2022 г. · Dear Paul, Here is a MRE of a likely bug in brms handling of the bernoulli family. I removed compilation messages for brevity. library(brms) ...