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:Julia Angelini [aut, cre], Marcos Prunello [aut], Gerardo Cervigni [aut]

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geneticae.pdf |geneticae.html
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NEWS

# Install 'geneticae' in R:
install.packages('geneticae', repos = c('https://jangelini.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jangelini/geneticae/issues

Datasets:
  • plrv - Clones from the PLRV population

On CRAN:

4.34 score 22 scripts 206 downloads 4 exports 142 dependencies

Last updated 2 years agofrom:080275d709. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winNOTENov 11 2024
R-4.5-linuxNOTENov 11 2024
R-4.4-winNOTENov 11 2024
R-4.4-macNOTENov 11 2024
R-4.3-winNOTENov 11 2024
R-4.3-macNOTENov 11 2024

Exports:GGEmodelGGEPlotimputationrAMMI

Dependencies:abindbackportsbase64encBiobaseBiocGenericsbitbit64bootbroombslibcachemcalibratecarcarDataclicliprclustercodetoolscolorspacecowplotcpp11crayoncrosstalkDEoptimRDerivdigestdoBydoParalleldplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeforcatsforeachFormulafsgenericsGGEBiplotsggforceggplot2ggrepelglmnetgluegtablehavenhighrhmshtmltoolshtmlwidgetshttpuvisobanditeratorsjomojquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicemicrobenchmarkmimeminqamissMDAmitmlmodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivordinalpanpbkrtestpcaMethodspcaPPpillarpkgconfigplyrpolyclipprettydocprettyunitsprogresspromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenreadrreshape2rlangrmarkdownrobustbaserpartrrcovsassscalesscatterplot3dshapeSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttinytextweenrtzdbucminfutf8vctrsviridisLitevroomwithrxfunyaml

How to use the geneticae package

Rendered froma-tutorial.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2022-07-20
Started: 2021-09-13

How to use the geneticae Shiny App

Rendered fromb-shiny.Rmdusingknitr::rmarkdownon Nov 11 2024.

Last update: 2022-07-20
Started: 2021-09-13