# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "SFSI" in publications use:' type: software license: GPL-3.0-only title: 'SFSI: Sparse Family and Selection Index' version: 1.4.1 identifiers: - type: doi value: 10.32614/CRAN.package.SFSI abstract: Here we provide tools for the estimation of coefficients in penalized regressions when the (co)variance matrix of predictors and the covariance vector between predictors and response, are provided. These methods are extended to the context of a Selection Index (commonly used for breeding value prediction). The approaches offer opportunities such as the integration of high-throughput traits in genetic evaluations ('Lopez-Cruz et al., 2020') and solutions for training set optimization in Genomic Prediction ('Lopez-Cruz & de los Campos, 2021') . authors: - family-names: Lopez-Cruz given-names: Marco email: maraloc@gmail.com - family-names: Campos given-names: Gustavo name-particle: de los email: gustavoc@msu.edu preferred-citation: type: article title: Regularized selection indices for breeding value prediction using hyper-spectral image data authors: - family-names: Lopez-Cruz given-names: Marco email: maraloc@gmail.com - family-names: Olson given-names: Eric - family-names: Rovere given-names: Gabriel - family-names: Crossa given-names: Jose - family-names: Dreisigacker given-names: Susanne - family-names: Mondal given-names: Suchismita - family-names: Singh given-names: Ravi - family-names: Campos given-names: Gustavo name-particle: de los email: gustavoc@msu.edu journal: Scientific Reports year: '2020' volume: '10' start: '8195' repository: https://CRAN.R-project.org/package=SFSI repository-code: https://github.com/MarcooLopez/SFSI url: https://github.com/MarcooLopez/SFSI date-released: '2024-08-23' contact: - family-names: Lopez-Cruz given-names: Marco email: maraloc@gmail.com