R-package agentBayes: Likelihood-based statistical methods for agent-based models.

Moser N, Finkelshtein D, Chargaziya G, Cornell SJ, Hamis S, Scott JG, Tadele DS, Ovaskainen O

DOI: 10.1371/journal.pcbi.1014786
Published: 2026 Sep
Container: PLoS computational biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1014786,
  title = {R-package agentBayes: Likelihood-based statistical methods for agent-based models.},
  author = {Moser N and Finkelshtein D and Chargaziya G and Cornell SJ and Hamis S and Scott JG and Tadele DS and Ovaskainen O},
  year = {2026},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1014786},
  url = {https://doi.org/10.1371/journal.pcbi.1014786}
}

RIS

TY  - JOUR
TI  - R-package agentBayes: Likelihood-based statistical methods for agent-based models.
AU  - Moser N
AU  - Finkelshtein D
AU  - Chargaziya G
AU  - Cornell SJ
AU  - Hamis S
AU  - Scott JG
AU  - Tadele DS
AU  - Ovaskainen O
PY  - 2026
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1014786
UR  - https://doi.org/10.1371/journal.pcbi.1014786
ER  -

APA

N, M., D, F., G, C., SJ, C., S, H., JG, S., DS, T., & O, O. (2026). R-package agentBayes: Likelihood-based statistical methods for agent-based models.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1014786

Source records

pubmed · retrieved 2026-11-10T09:10:42.616Z