Articles

Using the bmm package

Guides to using various features of the bmm package

From brms to bmm

Introduction to the bmmformula syntax

Extracting default priors, the generated Stan code and Stan data

Testing hypotheses and comparing models

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)

Multinomial Processing Tree (MPT) models

Signal detection & recognition

Fitting signal detection models and analysing ROC/AUC

Signal Detection Theory models

Dual-process and meta-d′ signal detection models

Evidence accumulation models

Fitting evidence accumulation models to response time and choice data

The EZ-Diffusion Model (EZDM)

The Censored Shifted Wald Model (cswald)

The Diffusion Decision Model (ddm)

Handling RT Contamination in Evidence Accumulation Models