mixtur: An R package for designing, analysing, and modelling continuous report visual short-term memory studies

Jim Grange, Stuart Bryan Moore

Open source

DOI: 10.31234/osf.io/n6gqx
Published: 2020-12-20
Container: Not recorded
Publisher: Center for Open Science
Open access: unknown

Credibility signals

uncertain Score 60/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
cautionPublication version: Identified as a preprint; peer review and later versions may change the record. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.31234/osf.io/n6gqx,
  title = {mixtur: An R package for designing, analysing, and modelling continuous report visual short-term memory studies},
  author = {Jim Grange and Stuart Bryan Moore},
  year = {2020},
  doi = {10.31234/osf.io/n6gqx},
  url = {https://doi.org/10.31234/osf.io/n6gqx}
}

RIS

TY  - JOUR
TI  - mixtur: An R package for designing, analysing, and modelling continuous report visual short-term memory studies
AU  - Jim Grange
AU  - Stuart Bryan Moore
PY  - 2020
DO  - 10.31234/osf.io/n6gqx
UR  - https://doi.org/10.31234/osf.io/n6gqx
ER  -

APA

Grange, J., & Moore, S. B. (2020). mixtur: An R package for designing, analysing, and modelling continuous report visual short-term memory studies. https://doi.org/10.31234/osf.io/n6gqx

Source records

crossref · retrieved 2026-09-25T13:57:19.904Z