# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "oes" in publications use:' type: software license: MIT title: 'oes: Optimal Effect-Size-Based Y-Axis Ranges' version: 1.0.0 abstract: Calculates effect-size-informed y-axis recommendations for visualizations of independent, repeated-measures, and mixed designs. Summarizes selected error bars, estimates conditional standardized contrasts, and generalizes range-expansion rules using constants from single-factor, two-level studies of Cohen's d. Recommendations beyond that studied setting have not been empirically validated. Provides numerical results and 'ggplot2' visualizations, including summary plots and preservation of supplied plot layouts. Confidence-interval adjustment options follow the distinctions in Cousineau (2017) , including difference adjustment and combined repeated-measures adjustment. Within-subject base intervals use the normalization of Cousineau (2005) with the bias correction of Morey (2008) . Correlation-only intervals and intervals with both adjustments are separate options. These references support confidence-interval construction, not the range-expansion calibration. authors: - family-names: Zang given-names: Shuo email: zshuo070@gmail.com orcid: https://orcid.org/0009-0000-4387-8145 affiliation: School of Psychology - family-names: Cousineau given-names: Denis affiliation: School of Psychology preferred-citation: type: manual title: 'oes: Optimal Effect-Size-Based Y-Axis Ranges' authors: - family-names: Zang given-names: Shuo orcid: https://orcid.org/0009-0000-4387-8145 email: zshuo070@gmail.com affiliation: School of Psychology - family-names: Cousineau given-names: Denis affiliation: School of Psychology year: '2026' notes: R package version 1.0.0 repository: https://cran.r-universe.dev commit: 9e570e94ac0ce12f38de684c3a10499b8219f15e date-released: '2026-10-21' contact: - family-names: Zang given-names: Shuo email: zshuo070@gmail.com orcid: https://orcid.org/0009-0000-4387-8145 affiliation: School of Psychology