m3_gauss_logp: Category log-probability under the Gaussian choice rule of...

In bmm: Easy and Accessible Bayesian Measurement Models Using 'brms'

Category log-probability under the Gaussian choice rule of m3()

Description

R companion to the Stan function m3_gauss_logp that m3(choice_rule = "gaussian") places in each category's activation formula. brms evaluates the non-linear formula in R for log_lik(), posterior_predict() and posterior_epred(), looking the function up on the search path; it is exported for that reason and is not meant to be called directly.

Usage

m3_gauss_logp(k, ...)

Arguments

k	Integer index of the response category.
...	The K category activations followed by the K option counts, as numbers or draws-by-observation matrices (as supplied by brms).

Value

The log probability of category k, with the shape of the first activation.

bmm documentation built on Oct. 16, 2026, 9:08 a.m.