Package: IBCF.MTME 1.6-0

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>.

Authors:Francisco Javier Luna-Vazquez [aut, cre], Osval Antonio Montesinos-Lopez [aut], Abelardo Montesinos-Lopez [aut], Jose Crossa [aut]

IBCF.MTME_1.6-0.tar.gz
IBCF.MTME_1.6-0.zip(r-4.5)IBCF.MTME_1.6-0.zip(r-4.4)IBCF.MTME_1.6-0.zip(r-4.3)
IBCF.MTME_1.6-0.tgz(r-4.4-any)IBCF.MTME_1.6-0.tgz(r-4.3-any)
IBCF.MTME_1.6-0.tar.gz(r-4.5-noble)IBCF.MTME_1.6-0.tar.gz(r-4.4-noble)
IBCF.MTME_1.6-0.tgz(r-4.4-emscripten)IBCF.MTME_1.6-0.tgz(r-4.3-emscripten)
IBCF.MTME.pdf |IBCF.MTME.html
IBCF.MTME/json (API)
NEWS

# Install 'IBCF.MTME' in R:
install.packages('IBCF.MTME', repos = c('https://frahik.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/frahik/ibcf.mtme/issues

Datasets:

On CRAN:

bayesian-methodspredictive-modeling

5 exports 2 stars 0.84 score 23 dependencies 18 scripts 230 downloads

Last updated 5 years agofrom:c525c9a768. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:CV.RandomPartgetMatrixFormgetTidyFormIBCFIBCF.Years

Dependencies:clicpp11dplyrfansigenericsgluelifecyclelsamagrittrpillarpkgconfigpurrrR6rlangSnowballCstringistringrtibbletidyrtidyselectutf8vctrswithr