AccumulatR: Simulation and Likelihood Tools for Evidence-Accumulation Models

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.

Version: 1.0.0
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
Published: 2026-10-22
DOI: 10.32614/CRAN.package.AccumulatR (may not be active yet)
Author: Niek Stevenson [aut, cre]
Maintainer: Niek Stevenson <niek.stevenson at gmail.com>
BugReports: https://github.com/niekstevenson/AccumulatR/issues
License: GPL-3
URL: https://github.com/niekstevenson/AccumulatR, https://niekstevenson.github.io/AccumulatR/
NeedsCompilation: yes
SystemRequirements: C++17
Materials: README, NEWS
CRAN checks: AccumulatR results

Documentation:

Reference manual: AccumulatR.html , AccumulatR.pdf
Vignettes: Chained Onsets (source, R code)
Supported Distributions (source, R code)
Getting Started with AccumulatR (source, R code)
Logical Rules (source, R code)
Working with Mixtures (source, R code)
Multiple Outcomes (source, R code)
Pooling Accumulators (source, R code)
A Simple Race Model (source, R code)
Shared Absence Triggers (source, R code)

Downloads:

Package source: AccumulatR_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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