bmm_models: Measurement models available in 'bmm'

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

Measurement models available in bmm

Description

Measurement models available in bmm

Usage

bmm_models()

Details

Printed, the result lists the models grouped by the task they are meant for, one line per model with its constructor and full name. The groups are: continuous reproduction; categorical recall and n-AFC decisions; detection, recognition and confidence judgments; choices and response times; processing-tree models. Type ?modelname (for example ?imm) for the arguments of a model.

Value

A character vector of model names with class bmm_models, which prints as the grouped list. Use it as a character vector in base R or dplyr, e.g. "imm" %in% bmm_models(); as.character() gives a plain one where a function refuses the class.

Examples

bmm_models()
"imm" %in% bmm_models()

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