| gosset-package | Tools for Data Analysis in Experimental Agriculture |
| AIC.bttree | Cross-validation |
| AIC.gnm | Cross-validation |
| akaike_weights | Akaike weights |
| breadwheat | Preferred bread wheat varieties |
| crossvalidation | Cross-validation |
| deviance.bttree | Cross-validation |
| deviance.gnm | Cross-validation |
| deviance.pltree | Cross-validation |
| gosset | Tools for Data Analysis in Experimental Agriculture |
| kendallTau | Kendall rank correlation coefficient |
| kendallTau.data.frame | Kendall rank correlation coefficient |
| kendallTau.default | Kendall rank correlation coefficient |
| kendallTau.grouped_rankings | Kendall rank correlation coefficient |
| kendallTau.matrix | Kendall rank correlation coefficient |
| kendallTau.paircomp | Kendall rank correlation coefficient |
| kendallTau.rankings | Kendall rank correlation coefficient |
| kenyachoice | Kenyan farmers’ preferences for agricultural and livelihood practices |
| node_labels | Get node labels and rules used in a party tree |
| node_rules | Get node labels and rules used in a party tree |
| plot.pltree | Get node labels and rules used in a party tree |
| pseudoR2 | Pseudo R-squared |
| pseudoR2.bttree | Pseudo R-squared |
| pseudoR2.default | Pseudo R-squared |
| pseudoR2.pltree | Pseudo R-squared |
| rank_binomial | Binary rankings from pairwise contests |
| rank_numeric | Plackett-Luce rankings from numeric values |
| rank_paircomp | Pairwise comparison rankings |
| rank_tricot | Build Plackett-Luce rankings from tricot dataset |
| reliability | Reliability based on worth parameters |
| reliability.default | Reliability based on worth parameters |
| reliability.PlackettLuce | Reliability based on worth parameters |
| reliability.pltree | Reliability based on worth parameters |
| rowbind | Combine R objects by rows |
| rowbind.default | Combine R objects by rows |
| rowbind.list | Combine R objects by rows |
| top_items | Get node labels and rules used in a party tree |
| worst_regret | Worst regret in regret-based models from recursive partitioning trees |
| worth_bar | Plot worth parameters |
| worth_map | Plot worth parameters |
| worth_map.default | Plot worth parameters |
| worth_map.list | Plot worth parameters |