# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "rmlnomogram" in publications use:' type: software license: MIT title: 'rmlnomogram: Construct Explainable Nomogram for a Machine Learning Model' version: 0.1.2 doi: 10.32614/CRAN.package.rmlnomogram abstract: Construct an explainable nomogram for a machine learning (ML) model to improve availability of an ML prediction model in addition to a computer application, particularly in a situation where a computer, a mobile phone, an internet connection, or the application accessibility are unreliable. This package enables a nomogram creation for any ML prediction models, which is conventionally limited to only a linear/logistic regression model. This nomogram may indicate the explainability value per feature, e.g., the Shapley additive explanation value, for each individual. However, this package only allows a nomogram creation for a model using categorical without or with single numerical predictors. Detailed methodologies and examples are documented in our vignette, available at . authors: - family-names: Sufriyana given-names: Herdiantri email: herdi@nycu.edu.tw orcid: https://orcid.org/0000-0001-9178-0222 - family-names: Su given-names: Emily Chia-Yu email: emily@nycu.edu.tw orcid: https://orcid.org/0000-0003-4801-5159 repository: https://CRAN.R-project.org/package=rmlnomogram date-released: '2025-01-08' contact: - family-names: Sufriyana given-names: Herdiantri email: herdi@nycu.edu.tw orcid: https://orcid.org/0000-0001-9178-0222