How can I set distinct priors for each distributional parameter in a dirichlet model in BRMS? Here is my code model <- brm(outcome ~ 1, data = d, family = dirichlet(refcat = 'c')) where d is a dataframe containing variables ‘a’, ‘b’, and ‘c’. If I use p <- c(prior_string("student_t(1, 2, 3)", c…

Found the answer… it is at the following link: [image] Setting priors for categorical model with "dpar": priors do not correspond to any parameter brms Please also provide the following information in addition to your question: Operating System: Ubuntu 19.04 brms Version…

Setting prior for Dirichlet Model

Modeling

samfleischer September 17, 2021, 5:27pm 2

Found the answer… it is at the following link:

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Setting prior for Dirichlet Model

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