snnR: Sparse Neural Networks for Genomic Selection in Animal Breeding

Solve the problem of over-parameterization in neural networks for genomic selection. Daniel Gianola, Hayrettin OkutEmail, Kent A Weigel and Guilherme JM Rosa (2011) <doi:10.1186/1471-2156-12-87>.

Version: 1.0
Depends: R (≥ 3.2.5)
Published: 2017-11-12
Author: Yangfan Wang, Ping Lin, Zhihui Chen, Zhenmin Bao, Guilherme J. M. Rosa
Maintainer: Yangfan Wang <yfwang at ouc.edu.cn>
License: GPL-2
NeedsCompilation: yes
CRAN checks: snnR results

Downloads:

Reference manual: snnR.pdf
Package source: snnR_1.0.tar.gz
Windows binaries: r-devel: snnR_1.0.zip, r-release: snnR_1.0.zip, r-oldrel: snnR_1.0.zip
macOS binaries: r-release: snnR_1.0.tgz, r-oldrel: snnR_1.0.tgz

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