CRAN/E | SFSI

SFSI

Sparse Family and Selection Index

Installation

About

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') doi:10.1038/s41598-020-65011-2 and solutions for training set optimization in Genomic Prediction ('Lopez-Cruz & de los Campos, 2021') doi:10.1093/genetics/iyab030.

Citation SFSI citation info

Key Metrics

Version 1.2.0
R ≥ 3.5
Published 2022-08-16 671 days ago
Needs compilation? yes
License GPL-3
CRAN checks SFSI results

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Maintainer

Maintainer

Marco Lopez-Cruz

Authors

Marco Lopez-Cruz

aut / cre

Gustavo de los Campos

aut

Paulino Perez-Rodriguez

ctb

Material

NEWS
Reference manual
Package source

Vignettes

Documentation: Lopez-Cruz et. al. (2020) Sci. Rep. 10:8195)
Documentation: Lopez-Cruz and de los Campos (2021) Genetics 218(1):1-10

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SFSI archive

Depends

R ≥ 3.5

Imports

stats

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LinkingTo

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