Package: geneticae 0.4.9000
geneticae: Statistical Tools for the Analysis of Multi Environment Agronomic Trials
Data from multi environment agronomic trials, which are often carried out by plant breeders, can be analyzed with the tools offered by this package such as the Additive Main effects and Multiplicative Interaction model or 'AMMI' ('Gauch' 1992, ISBN:9780444892409) and the Site Regression model or 'SREG' ('Cornelius' 1996, <doi:10.1201/9780367802226>). Since these methods present a poor performance under the presence of outliers and missing values, this package includes robust versions of the 'AMMI' model ('Rodrigues' 2016, <doi:10.1093/bioinformatics/btv533>), and also imputation techniques specifically developed for this kind of data ('Arciniegas-Alarcón' 2014, <doi:10.2478/bile-2014-0006>).
Authors:
geneticae_0.4.9000.tar.gz
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geneticae_0.4.9000.tgz(r-4.4-any)geneticae_0.4.9000.tgz(r-4.3-any)
geneticae_0.4.9000.tar.gz(r-4.5-noble)geneticae_0.4.9000.tar.gz(r-4.4-noble)
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geneticae.pdf |geneticae.html✨
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
- plrv - Clones from the PLRV population
Last updated 2 years agofrom:080275d709. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win | NOTE | Nov 11 2024 |
R-4.5-linux | NOTE | Nov 11 2024 |
R-4.4-win | NOTE | Nov 11 2024 |
R-4.4-mac | NOTE | Nov 11 2024 |
R-4.3-win | NOTE | Nov 11 2024 |
R-4.3-mac | NOTE | Nov 11 2024 |
Exports:GGEmodelGGEPlotimputationrAMMI
Dependencies:abindbackportsbase64encBiobaseBiocGenericsbitbit64bootbroombslibcachemcalibratecarcarDataclicliprclustercodetoolscolorspacecowplotcpp11crayoncrosstalkDEoptimRDerivdigestdoBydoParalleldplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeforcatsforeachFormulafsgenericsGGEBiplotsggforceggplot2ggrepelglmnetgluegtablehavenhighrhmshtmltoolshtmlwidgetshttpuvisobanditeratorsjomojquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicemicrobenchmarkmimeminqamissMDAmitmlmodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivordinalpanpbkrtestpcaMethodspcaPPpillarpkgconfigplyrpolyclipprettydocprettyunitsprogresspromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreadrreshape2rlangrmarkdownrobustbaserpartrrcovsassscalesscatterplot3dshapeSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttinytextweenrtzdbucminfutf8vctrsviridisLitevroomwithrxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Site Regression model | GGEmodel |
GGE biplots with 'ggplot2' | GGEPlot |
Imputation of missing cells in two-way data sets | imputation |
Clones from the PLRV population | plrv |
AMMI biplots with 'ggplot2' | rAMMI |