Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model


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Documentation for package ‘bayesammi’ version 1.0.0

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as.data.frame.bam_result Methods for bayesammi results
as.data.table.bam_result Methods for bayesammi results
as.mcmc.list.bam_bayes_ammi The draws of a fit for posterior, bayesplot and coda
as_draws.bam_bayes_ammi The draws of a fit for posterior, bayesplot and coda
as_draws_df.bam_bayes_ammi The draws of a fit for posterior, bayesplot and coda
bam-draws The draws of a fit for posterior, bayesplot and coda
bam-methods Methods for bayesammi results
bam_ammi_indices Posterior distributions of AMMI-based stability indices
bam_app Bayesian AMMI and GGE analysis in a web browser
bam_app_object Bayesian AMMI and GGE analysis in a web browser
bam_cite References of a result or of the package
bam_compare Compare Bayesian AMMI and GGE models
bam_indices Posterior distributions of classical stability indices
bam_interpret Interpretation of a Bayesian AMMI analysis
bam_notation Notation of bayesammi
bam_ppc Posterior predictive checks
bam_predict Predictions of every genotype-environment cell
bam_priors Prior distributions of the Bayesian AMMI model
bam_ranks Posterior distribution of the ranks of the genotypes
bam_reference Published values used by the tests and vignettes
bam_save Save a figure (vector PDF by default)
bam_stability Bayesian stability of the genotypes
bam_stab_priors Priors of the Bayesian stability models
bam_superiority Probabilities of superior performance and stability
bam_theme ggplot2 theme of bayesammi
bam_winners Which genotype wins where: posterior probabilities
bayes_ammi Bayesian estimation of the AMMI and GGE models
bayes_ammi.default Bayesian estimation of the AMMI and GGE models
bayes_stability Bayesian stability analysis: Finlay-Wilkinson, Eberhart-Russell and Shukla models
biplots Biplots with highest posterior density regions
biplots.default Biplots with highest posterior density regions
e_eff Environment effects
e_eff.default Environment effects
format.bam_interpretation Interpretation of a Bayesian AMMI analysis
format.bam_result Methods for bayesammi results
ge_ammi Least-squares AMMI model
ge_ammi.default Least-squares AMMI model
ge_eff Genotype-by-environment interaction effects
ge_eff.default Genotype-by-environment interaction effects
ge_mean Genotype-by-environment means
ge_mean.default Genotype-by-environment means
ge_model Linear mixed model of a multi-environment trial
ge_model.default Linear mixed model of a multi-environment trial
ge_var Genotype-by-environment variances
ge_var.default Genotype-by-environment variances
g_eff Genotype effects
g_eff.default Genotype effects
Maiz Maize multi-environment trial
matrix_k Orthonormal contrast matrix
matrix_k.default Orthonormal contrast matrix
orthnorm Gram-Schmidt orthonormalisation
orthnorm.default Gram-Schmidt orthonormalisation
plot.bam_result Methods for bayesammi results
print.bam_interpretation Interpretation of a Bayesian AMMI analysis
print.bam_priors Prior distributions of the Bayesian AMMI model
print.bam_result Methods for bayesammi results
print.summary.bam_result Methods for bayesammi results
summary.bam_result Methods for bayesammi results