Simulation and Likelihood Tools for Evidence-Accumulation Models R package AccumulatR version 1.0.0 Toolbox for designing, simulating and fitting custom racing evidence-accumulation models to behavioral data. Users define a model in terms of accumulators, pooled channels, logical response rules, and timing dependencies. This allows more direct embedding of psychological hypotheses into the model. With that model you can simulate decision-making data and evaluate the likelihood of observed responses under alternative parameter values. The user-facing interface stays in R, while the simulation and likelihood calculations are handled in C++ for speed. Software Depends: R (>= 4.1) Imports: Rcpp (>= 1.1.2), stats, utils LinkingTo: Rcpp (>= 1.1.2), BH Suggests: knitr, rmarkdown, testthat (>= 3.0.0), DiagrammeR Niek Stevenson <niek.stevenson@gmail.com> Comprehensive R Archive Network (CRAN) Niek Stevenson [aut, cre] GPL-3 2026-10-22 application/tgz https://CRAN.R-project.org/package=AccumulatR doi:10.32614/CRAN.package.AccumulatR