# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "carwatch" in publications use:' type: software license: MIT title: 'carwatch: Processing of ''CARWatch'' Sampling Logs and Saliva Data' version: 1.0.1 abstract: Import and reconstruct saliva-sampling studies recorded by the 'CARWatch' application. Registration metadata and raw barcode events are converted into auditable study days and scheduled sample positions using a two-pass issue-review workflow. Functions assess sampling-time compliance, merge laboratory saliva measurements, calculate response features, and create quality-control visualizations. The application is described by Richer et al. (2023) . authors: - family-names: Richer given-names: Robert email: robert.richer@fau.de orcid: https://orcid.org/0000-0003-0272-5403 preferred-citation: type: manual title: 'carwatch: Registration-Aware Processing of CARWatch Sampling Logs and Saliva Data' authors: - family-names: Richer given-names: Robert email: robert.richer@fau.de orcid: https://orcid.org/0000-0003-0272-5403 year: '2026' notes: R package version 1.0.0 url: https://github.com/carwatch-tools/carwatch-r repository: https://cran.r-universe.dev repository-code: https://github.com/carwatch-tools/carwatch-r commit: 25bfd0aa37a48b59cff876ca9fee3c386a02b7c6 url: https://carwatch-tools.github.io/carwatch-r/ date-released: '2026-09-17' contact: - family-names: Richer given-names: Robert email: robert.richer@fau.de orcid: https://orcid.org/0000-0003-0272-5403 references: - type: article title: CARWatch — A smartphone application for improving the accuracy of cortisol awakening response sampling authors: - family-names: Richer given-names: Robert - family-names: Abel given-names: Lena - family-names: Küderle given-names: Arne - family-names: Eskofier given-names: Bjoern M. - family-names: Rohleder given-names: Nicolas journal: Psychoneuroendocrinology volume: '151' year: '2023' doi: 10.1016/j.psyneuen.2023.106073 start: '106073'