# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "modelimportance" in publications use:' type: software license: MIT title: 'modelimportance: Measuring Contributions of Component Models to Ensemble Forecast Accuracy' version: 0.1.0 abstract: Provides metrics for quantifying the contribution of individual component models to the predictive accuracy of ensemble forecasts. The package implements the Leave-One-Model-Out (LOMO) and Leave-All-Subset-of-One-Model-Out (LASOMO) model importance metrics, enabling users to assess the relative importance of component models and better understand the performance of ensemble forecasting systems. Methods are described in Kim et al. (2026) . authors: - family-names: Kim given-names: Minsu email: minsu@umass.edu orcid: https://orcid.org/0009-0008-4637-3589 - family-names: Shandross given-names: Li email: lshandross@umass.edu orcid: https://orcid.org/0009-0008-1348-1954 - family-names: Reich given-names: Nicholas email: nick@umass.edu orcid: https://orcid.org/0000-0003-3503-9899 - family-names: Ray given-names: Evan email: elray1@umass.edu repository: https://cran.r-universe.dev repository-code: https://github.com/mkim425/modelimportance commit: fad92f5cc3ea3b63532cc010ad9635ace1f6fa2a url: https://github.com/mkim425/modelimportance date-released: '2026-07-16' contact: - family-names: Kim given-names: Minsu email: minsu@umass.edu orcid: https://orcid.org/0009-0008-4637-3589