Package: plantmix 1.0.2
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.
Authors:
plantmix_1.0.2.tar.gz
plantmix_1.0.2.zip(r-4.7)plantmix_1.0.2.zip(r-4.6)plantmix_1.0.2.zip(r-4.5)
plantmix_1.0.2.tgz(r-4.6-x86_64)plantmix_1.0.2.tgz(r-4.6-arm64)plantmix_1.0.2.tgz(r-4.5-x86_64)plantmix_1.0.2.tgz(r-4.5-arm64)
plantmix_1.0.2.tar.gz(r-4.7-arm64)plantmix_1.0.2.tar.gz(r-4.7-x86_64)plantmix_1.0.2.tar.gz(r-4.6-arm64)plantmix_1.0.2.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
card.svg |card.png
plantmix/json (API)
NEWS
| # Install 'plantmix' in R: |
| install.packages('plantmix', repos = c('https://timflutre.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:24a33b86e4. Checks:12 OK, 1 FAIL. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 254 | ||
| linux-devel-x86_64 | OK | 269 | ||
| source / vignettes | OK | 413 | ||
| linux-release-arm64 | OK | 267 | ||
| linux-release-x86_64 | OK | 244 | ||
| macos-release-arm64 | OK | 273 | ||
| macos-release-x86_64 | OK | 640 | ||
| macos-oldrel-arm64 | OK | 405 | ||
| macos-oldrel-x86_64 | OK | 467 | ||
| windows-devel | OK | 1038 | ||
| windows-release | OK | 1096 | ||
| windows-oldrel | OK | 309 | ||
| wasm-release | FAIL | 161 |
Exports:CCestimGRMestimRYMRepestimRYRepfitDBVSBVinterfitGMASMAgetDesignBinaryCropMixgetDesignBinaryVarMixgetMixtureListgetMixturesPerGenoimageMatinfoCriterioninvvecinvvecMixesLERmixSowingWeightmkAllZSMAmkZGMAmkZinterspemkZSMAnbSeedsToSownInPurenormBiasErrorparamBoot4TMBpivotMixData2LongpivotMixData2WideplotDesignCropMixplotDesignVarMixplotDiallelRIIRIInetrmatnormRYRYMRYPRYTsimulDBVSBVintersimulGenosDoseStructsummarizeGMASMAsvec
Dependencies:bootclicpp11farverggplot2gluegtableigraphisobandlabelinglatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrpkgconfigR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalesTMBvctrsviridisLitewithr
Introduction to GMA-SMA models
Rendered fromvig1_intro-GMA-SMA.Rmdusingknitr::rmarkdownon Jun 10 2026.Last update: 2026-06-09
Started: 2026-06-09
Example of GMA-SMA models for varietal mixtures in microplots
Rendered fromvig2_GMA-SMA_simul-infer.Rmdusingknitr::rmarkdownon Jun 10 2026.Last update: 2026-06-09
Started: 2026-06-09
Example of DBV-SBV models for species mixtures in a tester-based design
Rendered fromvig3_DBV-SBV_crop-mix_testers.Rmdusingknitr::rmarkdownon Jun 10 2026.Last update: 2026-06-09
Started: 2026-06-09
