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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.
| Version: |
1.0-2 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
lattice, latticeExtra, distfree.cr, coda, spam, movMF, msm, bayesplot, Hmisc |
| Suggests: |
ggpubr, R.rsp |
| Published: |
2024-02-02 |
| Author: |
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] |
| Maintainer: |
Fabio M. Correa <fmcron at protonmail.com> |
| Contact: |
Fabio Mathias Correa <fmcron@protonmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Copyright: |
see file COPYRIGHTS |
| NeedsCompilation: |
no |
| Citation: |
ammiBayes citation info |
| Materials: |
ChangeLog |
| In views: |
Bayesian |
| CRAN checks: |
ammiBayes results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ammiBayes
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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