# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "growthcleanr" in publications use:' type: software license: MIT title: 'growthcleanr: Data Cleaner for Anthropometric Measurements' version: 2.2.3 doi: 10.1093/jamia/ocx037 identifiers: - type: doi value: 10.32614/CRAN.package.growthcleanr - type: doi value: 10.1093/bioinformatics/btz617 abstract: Identifies implausible anthropometric (e.g., height, weight) measurements in irregularly spaced longitudinal datasets, such as those from electronic health records. authors: - family-names: Daymont given-names: Carrie email: cdaymont@pennstatehealth.psu.edu - family-names: Grundmeier given-names: Robert - family-names: Miller given-names: Jeffrey - family-names: Campos given-names: Diego preferred-citation: type: article title: Automated identification of implausible values in growth data from pediatric electronic health records authors: - name: Carrie Daymont - name: Michelle E Ross - family-names: Russell Localio given-names: A - name: Alexander G Fiks - name: Richard C Wasserman - name: Robert W Grundmeier journal: Journal of the American Medical Informatics Association year: '2017' doi: 10.1093/jamia/ocx037 volume: '24' issue: '6' month: '4' url: https://doi.org/10.1093/bioinformatics/btz617 issn: 1067-5027 start: 1080-1087 identifiers: - type: doi value: 10.1093/bioinformatics/btz617 repository: https://growth-data-tools.r-universe.dev repository-code: https://github.com/carriedaymont/growthcleanr commit: ba6c676a05dc3e24449ddbfc184235c55a1db44d url: https://carriedaymont.github.io/growthcleanr/index.html date-released: '2026-05-09' contact: - family-names: Daymont given-names: Carrie email: cdaymont@pennstatehealth.psu.edu