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IBCF.MTME: Item Based Collaborative Filtering for Multi-Trait and Multi-Environment Data

Implements the item based collaborative filtering (IBCF) method for continues phenotypes in the context of plant breeding where data are collected for various traits that were studied in various environments proposed by Montesinos-López et al. (2017) <doi:10.1534/g3.117.300309>.

Version: 1.6-0
Depends: R (≥ 3.0.0)
Imports: lsa, tidyr, dplyr
Suggests: testthat, knitr, rmarkdown, covr
Published: 2019-03-23
DOI: 10.32614/CRAN.package.IBCF.MTME
Author: Francisco Javier Luna-Vazquez ORCID iD [aut, cre], Osval Antonio Montesinos-Lopez ORCID iD [aut], Abelardo Montesinos-Lopez [aut], Jose Crossa ORCID iD [aut]
Maintainer: Francisco Javier Luna-Vazquez <frahik at gmail.com>
BugReports: https://github.com/frahik/IBCF.MTME/issues/new
License: LGPL-3
URL: https://github.com/frahik/IBCF.MTME
NeedsCompilation: no
Language: en-US
Materials: NEWS
In views: Agriculture
CRAN checks: IBCF.MTME results

Documentation:

Reference manual: IBCF.MTME.pdf

Downloads:

Package source: IBCF.MTME_1.6-0.tar.gz
Windows binaries: r-devel: IBCF.MTME_1.6-0.zip, r-release: IBCF.MTME_1.6-0.zip, r-oldrel: IBCF.MTME_1.6-0.zip
macOS binaries: r-release (arm64): IBCF.MTME_1.6-0.tgz, r-oldrel (arm64): IBCF.MTME_1.6-0.tgz, r-release (x86_64): IBCF.MTME_1.6-0.tgz, r-oldrel (x86_64): IBCF.MTME_1.6-0.tgz
Old sources: IBCF.MTME archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.