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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 "bmscstan" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'bmscstan: Bayesian Multilevel Single Case Models using ''Stan'''
version: 1.2.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.bmscstan
abstract: Analyse single case analyses against a control group. Its purpose is to
  provide a flexible, with good power and low first type error approach that can manage
  at the same time controls' and patient's data. The use of Bayesian statistics allows
  to test both the alternative and null hypothesis. Scandola, M., & Romano, D. (2020,
  August 3). <https://doi.org/10.31234/osf.io/sajdq> Scandola, M., & Romano, D. (2021).
  <https://doi.org/10.1016/j.neuropsychologia.2021.107834>.
authors:
- family-names: Scandola
  given-names: Michele
  email: michele.scandola@univr.it
  orcid: https://orcid.org/0000-0003-0853-8975
preferred-citation:
  type: article
  title: Bayesian multilevel single case models using 'Stan'. A new tool to study
    single cases in neuropsychology
  authors:
  - family-names: Scandola
    given-names: Michele
    email: michele.scandola@univr.it
    orcid: https://orcid.org/0000-0003-0853-8975
  - family-names: Romano
    given-names: Daniele
  journal: Neuropsychologia
  volume: '156'
  year: '2021'
  publisher:
    name: Elsevier
  start: '107834'
repository: https://cranhaven.r-universe.dev
repository-code: https://github.com/michelescandola/bmscstan
commit: 4da6083d52efdd59161e2d4b2905ffb27e80c524
url: https://github.com/michelescandola/bmscstan
date-released: '2026-06-01'
contact:
- family-names: Scandola
  given-names: Michele
  email: michele.scandola@univr.it
  orcid: https://orcid.org/0000-0003-0853-8975
references:
- type: manual
  title: 'bmscstan: Bayesian Multilevel Single Case models using ''Stan'''
  authors:
  - family-names: Scandola
    given-names: Michele
    email: michele.scandola@univr.it
  year: '2020'
  url: https://github.com/michelescandola/bmscstan
  notes: R package version 1.2.0.1