Package: geneticae 1.0.1
geneticae: Statistical Tools for the Analysis of Multi Environment Agronomic Trials
Provides tools for the analysis of multi-environment agronomic trials, with a specific focus on plant breeding experiments. Implements the Additive Main effects and Multiplicative Interaction (AMMI) model (Gauch, 1992, ISBN:9780444892409) and the Site Regression (SREG) model (Cornelius, 1996, <doi:10.1201/9780367802226>). To ensure reliable results even with outliers or missing data, it includes robust versions of AMMI (Rodrigues et al., 2016, <doi:10.1093/bioinformatics/btv533>) and SREG (Angelini et al., 2022, <doi:10.1080/15427528.2022.2051217>). Furthermore, the package offers advanced imputation techniques for multi-environment data, covering classical methodologies (Arciniegas-Alarcón et al., 2014, <doi:10.2478/bile-2014-0006>) and recently published imputation methods for MET data (Angelini et al., 2024, <doi:10.1007/s10681-024-03344-z>).
Authors:
geneticae_1.0.1.tar.gz
geneticae_1.0.1.zip(r-4.7)geneticae_1.0.1.zip(r-4.6)geneticae_1.0.1.zip(r-4.5)
geneticae_1.0.1.tgz(r-4.6-any)geneticae_1.0.1.tgz(r-4.5-any)
geneticae_1.0.1.tar.gz(r-4.7-any)geneticae_1.0.1.tar.gz(r-4.6-any)
geneticae_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
geneticae/json (API)
NEWS
| # Install 'geneticae' in R: |
| install.packages('geneticae', repos = c('https://jangelini.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jangelini/geneticae/issues
Pkgdown/docs site:https://jangelini.github.io
- plrv - Clones from the PLRV population
Last updated from:f008699ae3. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 220 | ||
| source / vignettes | OK | 260 | ||
| linux-release-x86_64 | OK | 228 | ||
| macos-release-arm64 | OK | 228 | ||
| macos-oldrel-arm64 | OK | 215 | ||
| windows-devel | OK | 154 | ||
| windows-release | OK | 144 | ||
| windows-oldrel | OK | 191 | ||
| wasm-release | OK | 155 |
Exports:BiplotImputfunEM.SREGimputationrAMMIModelrAMMIPlotrSREGModelrSREGPlot
Dependencies:abindbackportsbase64encBiobaseBiocGenericsbitbit64bootbroombslibcachemcarcarDataclicliprclustercodetoolscolorspacecorpcorcowplotcpp11crayoncrosstalkDEoptimRDerivdigestdoBydoParalleldplyrDTellipseemmeansestimabilityevaluateFactoMineRfarverfastmapflashClustfontawesomeforcatsforeachforecastFormulafracdifffsgenericsggforceggplot2ggrepelglmnetgluegtablehavenhighrhmshtmltoolshtmlwidgetsisobanditeratorsjomojquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicemicrobenchmarkmimeminqamissMDAmitmlmodelrmultcompViewmvtnormnlmenloptrnnetnumDerivordinalotelpanpbkrtestpcaMethodspcaPPpillarpkgconfigpolyclipprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrlangrmarkdownrobustbaserpartrrcovS7sassscalesscatterplot3dshapeSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttimeDatetinytextweenrtzdbucminfurcautf8vctrsviridisLitevroomwithrxfunyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Imputation of missing cells in two-way data sets | imputation |
| Clones from the PLRV population | plrv |
| Robust AMMI Model Fitting | rAMMIModel |
| AMMI Biplots with 'ggplot2' | rAMMIPlot |
| Site Regression model | rSREGModel |
| GGE biplots with 'ggplot2' | rSREGPlot |
