plantmix: Genetic Study of Plant Mixtures

Fit linear mixed models dedicated to the genetic study of plant mixtures, such as those based on general and specific mixing abilities (GMA-SMA) as well as direct and social breeding values (DBV-SBV), also known as direct and indirect genetic effects (DGE-IGE). More details in Forst et al (2019, <doi:10.1016/j.fcr.2019.107571>) for GMA-SMA models, and Salomon et al (2026, <doi:10.64898/2026.03.27.714849>) for DBV-SBV models. The package also provides functions to optimize experimental designs, simulate data sets and compute interaction indices.

Version: 1.0.2
Depends: R (≥ 4.0.0), ggplot2, lme4
Imports: graphics, igraph, MASS, Matrix, methods, Rcpp (≥ 1.0.13), stats, TMB (≥ 1.9.17), utils
LinkingTo: TMB, Rcpp, RcppEigen
Suggests: breedR, INLA, emmeans, knitr, MM4LMM, rmarkdown, testthat
Published: 2026-06-09
DOI: 10.32614/CRAN.package.plantmix (may not be active yet)
Author: Timothee Flutre ORCID iD [aut, ctb, cre], INRAE [cph, fnd], Jerome Enjalbert ORCID iD [ctb], Emma Forst ORCID iD [ctb], Maxence Remerand ORCID iD [ctb], Jemay Salomon ORCID iD [ctb]
Maintainer: Timothee Flutre <timothee.flutre at inrae.fr>
License: AGPL-3
Copyright: INRAE
NeedsCompilation: yes
Additional_repositories: https://famuvie.github.io/breedR, https://inla.r-inla-download.org/R/stable
Citation: plantmix citation info
Materials: README, NEWS
CRAN checks: plantmix results

Documentation:

Reference manual: plantmix.html , plantmix.pdf
Vignettes: 1) Introduction to GMA-SMA models (source, R code)
2) Example of GMA-SMA models for varietal mixtures in microplots (source, R code)
3) Example of DBV-SBV models for species mixtures in a tester-based design (source, R code)

Downloads:

Package source: plantmix_1.0.2.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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