Package: ammiBayes 1.0-2

Fabio M. Correa

ammiBayes: Bayesian Ammi Model for Continuous Data

Flexible multi-environment trials analysis via MCMC method for Additive Main Effects and Multiplicative Model (AMMI) for continuous data. Biplot with the averages and regions of confidence can be generated. The chains run in parallel on Linux systems and run serially on Windows.

Authors:Luciano A. Oliveira [aut], Carlos P. Silva [aut], Cristian T. E. Mendes [aut], Alessandra Q. Silva [aut], Joel J. Nuvunga [aut], Marcio Balestre [ths], Julio S. S. Bueno-Filho [ths], Fabio M. Correa [aut, cre]

ammiBayes_1.0-2.tar.gz
ammiBayes_1.0-2.tar.gz(r-4.5-noble)ammiBayes_1.0-2.tar.gz(r-4.4-noble)
ammiBayes_1.0-2.tgz(r-4.4-emscripten)ammiBayes_1.0-2.tgz(r-4.3-emscripten)
ammiBayes.pdf |ammiBayes.html
ammiBayes/json (API)

# Install 'ammiBayes' in R:
install.packages('ammiBayes', repos = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 295 downloads 8 exports 97 dependencies

Last updated 1 years agofrom:d1fc810cae. Checks:2 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 29 2025
R-4.5-linuxNOTEMar 29 2025
R-4.4-linuxOKMar 29 2025

Exports:ammiBayesammiBayes.conf.plotammiBayes.gen.plotammiBayes.mean.plotdiagnosis.ammiBayesgen.effectspredict.ammiBayessummary.ammiBayes

Dependencies:abindbackportsbase64encbayesplotbslibcachemcheckmatecliclueclustercodacolorspacedata.tabledeldirdigestdistfree.crdistributionaldotCall64dplyrevaluateexpmfansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2ggridgesgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsinterpisobandjpegjquerylibjsonliteknitrlabelinglatticelatticeExtralifecyclemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemovMFmsmmunsellmvtnormnlmennetnumDerivpillarpkgconfigplyrpngposteriorR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownrpartrstudioapisassscalesskmeansslamspamstringistringrsurvivaltensorAtibbletidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml

Bayesian AMMI model for continuous data

Rendered fromvignette.pdf.asisusingR.rsp::asison Mar 29 2025.

Last update: 2022-03-14
Started: 2022-02-08

Citation

To cite ammiBayes in publications use:

Oliveira, L.A; Silva, C.P.; Mendes, C.T.E.; Silva, A.Q.; Nuvunga, J.J.; Balestre, M.; Bueno Filho, J.S.S.; and Correa, F.M. ( 2025 ). Bayesian AMMI for continuous data.

Lots of time and effort were invested in creating ammiBayes package. Please, cite it when using it together with R. See also ‘citation()’ for citing R.

Corresponding BibTeX entry:

  @Manual{,
    title = {Bayesian AMMI for continuous data.},
    author = {Luciano Antonio {de Oliveira} and Carlos Pereira da Silva
      and Cristian Tiago Erazo Mendes and Alessandra Querino da Silva
      and Joel Jorge Nuvunga and Marcio Balestre and Julio Silvio de
      Sousa Bueno Filho and Fabio Mathias Correa},
    organization = {Universidade Federal de Lavras, Universidade
      Federal da Grande Dourados, Eduardo Mondlane University, and
      University of the Free State},
    year = {2025},
  }