Articles

Using the bmm package

Guides to using various features of the bmm package

Introduction to the bmmformula syntax

Extracting default priors, the generated Stan code and Stan data

Continuous reproduction tasks

Fitting models to continuous reproduction tasks

Continuous reproduction tasks (CRT)

Mixture models for visual working memory

The Interference Measurement Model (IMM)

The Signal Discrimination Model (SDM)

Categorical decision tasks

Fitting models to categorical decision tasks (e.g. cued or free recall, n-AFC, etc)

The Multinomial / Memory Measurement Model (M3)

Speeded decision making

Fitting models to choice reaction time tasks

The EZ-Diffusion Model (EZDM)

Handling RT Contamination in Evidence Accumulation Models