# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ResIndex" in publications use:' type: software license: LGPL-2.0-only title: 'ResIndex: Generate Simple yet Effective Metric of Feature Importance for Classification Problems' version: 0.1.0 doi: 10.32614/CRAN.package.ResIndex abstract: An intuitive and explainable metric of Feature Importance for Classification Problems. Resolution Index measures the extent to which a Feature clusters different classes when data is sorted on it. User provides a DataFrame, column name of the Class, sample size and number of iterations used for calculation. Resolution Index for each Feature is returned, which can be effectively used to rank Features and reduce Dimensionality of Training data. For more details on Feature Selection see Theng and Bhoyar (2023) . authors: - family-names: Jha given-names: Anand email: anandorjha18@gmail.com repository: https://anandorjha.r-universe.dev commit: 6ca0de8843150f504b547a865f4aceeea00f62ac date-released: '2025-03-18' contact: - family-names: Jha given-names: Anand email: anandorjha18@gmail.com