[popov-lab] bmm 1.4.1

gfrischkorn@icloud.com (Gidon T. Frischkorn) — Fri, 16 Oct 2026 06:19:10 GMT

Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into 'brms' syntax, a powerful and flexible framework for fitting Bayesian regression models using 'Stan'. The package is designed so that users can easily apply state-of-the-art models in various research fields, and so that researchers can use it as a new model development framework. References: Frischkorn and Popov (2025) .

[gidonfrischkorn] rtprep 0.1.0.9000

gfrischkorn@icloud.com (Gidon T. Frischkorn) — Wed, 07 Oct 2026 19:06:18 GMT

A uniform interface to common response time preprocessing decisions that precede analysing aggregated response times or fitting an evidence accumulation model. Screening rules from different preprocessing routines -- absolute cutoffs, standard deviation and median absolute deviation criteria, recursive moving criteria, and model-based mixture flagging -- all return the same per-trial object, so that consequences of a preprocessing choice can be compared rather than assumed. The package also provides aggregation into EZ-diffusion summary statistics, diagnostics reporting what each rule removed and where rules disagree. Finally, generators for response time data with contaminants of known type are provided, so that a chosen pipeline can be tested against ground truth. Screening criteria follow Van Selst and Jolicoeur (1994) , the contaminant mixture Ratcliff and Tuerlinckx (2002) , and the EZ-diffusion equations Wagenmakers, van der Maas and Grasman (2007) .

thom-more.r-universe.dev

[popov-lab] bmm 1.4.1

[gidonfrischkorn] rtprep 0.1.0.9000