| 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 |