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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "eam" in publications use:'
type: software
license: MIT
title: 'eam: Evidence Accumulation Models'
version: 1.2.2
doi: 10.31234/osf.io/dg7c2_v1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.eam
abstract: 'Simulation-based evidence accumulation models for analyzing responses and
  reaction times in single- and multi-response tasks. The package includes simulation
  engines for five representative models: the Diffusion Decision Model (DDM), Leaky
  Competing Accumulator (LCA), Linear Ballistic Accumulator (LBA), Racing Diffusion
  Model (RDM), and Levy Flight Model (LFM), and extends these frameworks to multi-response
  settings. The package supports user-defined functions for item-level parameterization
  and the incorporation of covariates, enabling flexible customization and the development
  of new model variants based on existing architectures. Inference is performed using
  simulation-based methods, including Approximate Bayesian Computation (ABC) and Amortized
  Bayesian Inference (ABI), which allow parameter estimation without requiring tractable
  likelihood functions. In addition to core inference tools, the package provides
  modules for parameter recovery, posterior predictive checks, and model comparison,
  facilitating the study of a wide range of cognitive processes in tasks involving
  perceptual decision making, memory retrieval, and value-based decision making. Key
  methods implemented in the package are described in Ratcliff (1978) <https://doi.org/10.1037/0033-295X.85.2.59>,
  Usher and McClelland (2001) <https://doi.org/10.1037/0033-295X.108.3.550>, Brown
  and Heathcote (2008) <https://doi.org/10.1016/j.cogpsych.2007.12.002>, Tillman,
  Van Zandt and Logan (2020) <https://doi.org/10.3758/s13423-020-01719-6>, Wieschen,
  Voss and Radev (2020) <https://doi.org/10.20982/tqmp.16.2.p120>, Csilléry, François
  and Blum (2012) <https://doi.org/10.1111/j.2041-210X.2011.00179.x>, Beaumont (2019)
  <https://doi.org/10.1146/annurev-statistics-030718-105212>, and Sainsbury-Dale,
  Zammit-Mangion and Huser (2024) <https://doi.org/10.1080/00031305.2023.2249522>.'
authors:
- family-names: Zhu
  given-names: Guangyu
  email: guangyu.frank@gmail.com
  orcid: https://orcid.org/0009-0005-1571-1782
- family-names: Yang
  given-names: Guang
  email: guang.spike.yang@gmail.com
  orcid: https://orcid.org/0009-0005-7675-3249
preferred-citation:
  type: article
  title: 'Simulation-Based Evidence Accumulation Modeling for Single- and Multi-Response
    Tasks: The eam Package'
  authors:
  - family-names: Zhu
    given-names: Guangyu
    email: guangyu.frank@gmail.com
    orcid: https://orcid.org/0009-0005-1571-1782
  - family-names: Yang
    given-names: Guang
    email: guang.spike.yang@gmail.com
    orcid: https://orcid.org/0009-0005-7675-3249
  year: '2026'
  doi: 10.31234/osf.io/dg7c2_v1
  url: https://osf.io/preprints/psyarxiv/dg7c2_v1
  notes: PsyArXiv preprint
  journal: PsyArXiv
repository: https://y-guang.r-universe.dev
repository-code: https://github.com/y-guang/eam
commit: 49f890fdb4cc1db2f1d4b64873fe71108e56dc7b
url: https://y-guang.github.io/eam/
date-released: '2026-05-30'
contact:
- family-names: Yang
  given-names: Guang
  email: guang.spike.yang@gmail.com
  orcid: https://orcid.org/0009-0005-7675-3249