Package: ammiBayes 2.1-1

Fabio M. Correa

ammiBayes: Bayesian Ammi Model for Continuous Data with or without Additive and Dominance Effect

Flexible multi-environment trials analysis via MCMC method for Additive Main Effects and Multiplicative Interaction 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:Fabio M. Correa [aut, cre], Luciano A. Oliveira [aut], Carlos P. Silva [aut], Cristian T. E. Mendes [aut], Alessandra Q. Silva [aut], Joel J. Nuvunga [aut], Larissa C. V. Boas [aut], Marcio Balestre [ths], Julio S. S. Bueno-Filho [ths]

ammiBayes_2.1-1.tar.gz
ammiBayes_2.1-1.tar.gz(r-4.7-any)ammiBayes_2.1-1.tar.gz(r-4.6-any)
ammiBayes_2.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ammiBayes/json (API)

# Install 'ammiBayes' in R:

install.packages('ammiBayes', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

ammiData - Dataset for example
ammiDominance - Example dataset for running the AMMI, AMMIGBlup, and AMMIGBlupD models.

On CRAN:

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

2.00 score 9 scripts 437 downloads 12 exports 96 dependencies

Last updated from:a6660fc765. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	219
source / vignettes	OK	299
linux-release-x86_64	OK	206
wasm-release	OK	144

Exports:AMMI ammiBayes ammiBayes.conf.plot ammiBayes.gen.plot ammiBayes.mean.plot AMMIGBlup AMMIGBlupD detect.interaction diagnosis.ammiBayes gen.effects predict.ammiBayes summary.ammiBayes

Dependencies:abind backports base64enc bayesplot bslib cachem checkmate cli clue cluster coda colorspace cpp11 data.table deldir digest distfree.cr distributional dotCall64 dplyr evaluate expm farver fastmap fontawesome foreign Formula fs generics ggplot2 ggridges glue gridExtra gtable highr Hmisc htmlTable htmltools htmlwidgets interp isoband jpeg jquerylib jsonlite knitr labeling lattice latticeExtra lifecycle magrittr MASS Matrix matrixStats memoise mime movMF msm mvtnorm nnet numDeriv pillar pkgconfig plyr png posterior purrr R6 rappdirs RColorBrewer Rcpp RcppEigen reshape2 rlang rmarkdown rpart rstudioapi S7 sass scales skmeans slam spam stringi stringr survival tensorA tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

Bayesian AMMI model for continuous data

Rendered fromvignette.pdf.asisusingR.rsp::asis

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

Help page	Topics
AMMI algorithm	AMMI
Bayesian Ammi Model for Continuous Data with or without additive and dominance effect	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
Example dataset for running the AMMI, AMMIGBlup, and AMMIGBlupD models.	ammiDominance
AMMIGBlup algorithm	AMMIGBlup
AMMIGBlupD algorithm	AMMIGBlupD
Detect GxE interaction	detect.interaction
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

Package: ammiBayes 2.1-1

ammiBayes: Bayesian Ammi Model for Continuous Data with or without Additive and Dominance Effect

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)