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, ) for GMA-SMA models, and Salomon et al (2026, ) for DBV-SBV models. The package also provides functions to optimize experimental designs, simulate data sets and compute interaction indices.



title: "plantmix" date: "26/05/2026"

Overview

plantmix is an R package dedicated to the genetic study of plant mixtures.

This software is available under a free software license, the GNU Affero General Public License (version 3 and later); see the COPYING file. The copyright is owned by INRAE.

Installation

Download the package as a .tar.gz archive, open the R console and execute the following command:

install.packages("path/to/plantmix_<version>.tar.gz", repos = NULL, type="source")

Usage

Open the R console and execute the following commands:

library(plantmix)
?plantmix
help(package="plantmix")
browseVignettes("plantmix")

Citation

As the authors invested time and effort in creating this software, please cite it.

Open the R console and execute the following command:

citation(package="plantmix")

Issues

When encountering a problem with the package, you can send an email to the maintainer.

maintainer("plantmix")

Contributing

If you are interested in contributing, send an email to the maintainer.

maintainer("plantmix")

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("plantmix")

1.0.3 by Timothee Flutre, 4 months ago


Browse source code at https://github.com/cran/plantmix


Authors: Timothee Flutre [aut, ctb, cre] (ORCID: , INRAE [cph, fnd] , Jerome Enjalbert [ctb] , Emma Forst [ctb] , Maxence Remerand [ctb] , Jemay Salomon [ctb]


Documentation:   PDF Manual  


AGPL-3 license


Imports graphics, igraph, MASS, Matrix, methods, Rcpp, stats, TMB, utils

Depends on ggplot2, lme4

Suggests breedR, INLA, emmeans, knitr, MM4LMM, rmarkdown, testthat

Linking to TMB, Rcpp, RcppEigen


See at CRAN