Sparse Family and Selection Index

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') .


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Reference manual

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install.packages("SFSI")

0.4.0 by Marco Lopez-Cruz, 2 months ago


Browse source code at https://github.com/cran/SFSI


Authors: Marco Lopez-Cruz [aut, cre] , Gustavo de los Campos [aut] , Paulino Perez-Rodriguez [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports stats, grDevices

Suggests BGLR, float, knitr, rmarkdown, ggplot2, parallel, reshape, viridis

Linking to float


See at CRAN