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:
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') |
- ammiData - Dataset for example
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:d1fc810cae. Checks:2 OK, 1 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 29 2025 |
R-4.5-linux | NOTE | Mar 29 2025 |
R-4.4-linux | OK | Mar 29 2025 |
Exports:ammiBayesammiBayes.conf.plotammiBayes.gen.plotammiBayes.mean.plotdiagnosis.ammiBayesgen.effectspredict.ammiBayessummary.ammiBayes
Dependencies:abindbackportsbase64encbayesplotbslibcachemcheckmatecliclueclustercodacolorspacedata.tabledeldirdigestdistfree.crdistributionaldotCall64dplyrevaluateexpmfansifarverfastmapfontawesomeforeignFormulafsgenericsggplot2ggridgesgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsinterpisobandjpegjquerylibjsonliteknitrlabelinglatticelatticeExtralifecyclemagrittrMASSMatrixmatrixStatsmemoisemgcvmimemovMFmsmmunsellmvtnormnlmennetnumDerivpillarpkgconfigplyrpngposteriorR6rappdirsRColorBrewerRcppRcppEigenreshape2rlangrmarkdownrpartrstudioapisassscalesskmeansslamspamstringistringrsurvivaltensorAtibbletidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml
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}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bayesian AMMI for continuous data | ammiBayes |
Plot ammiBayes object with confidence region | ammiBayes.conf.plot |
Plot genotype effects from ammiBayes object | ammiBayes.gen.plot |
Plot ammiBayes object | ammiBayes.mean.plot |
Dataset for example | ammiData |
Bayesian AMMI for ordinal data | diagnosis.ammiBayes |
Bayesian AMMI for continous data | gen.effects |
Bayesian AMMI for continuous data | predict.ammiBayes |
Summary Method for ammiBayes object | summary.ammiBayes |