Tools for Data Analysis in Experimental Agriculture
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Documentation for package ‘gosset’ version 1.3
Help Pages
| gosset-package | Tools for Data Analysis in Experimental Agriculture |
| AIC.bttree | Cross-validation |
| AIC.gnm | Cross-validation |
| akaike_weights | Akaike weights |
| anova.PlackettLuce | Likelihood-ratio test |
| breadwheat | Preferred bread wheat varieties |
| btpermute | Variable selection with Permuted Inclusion Criterion |
| compare | Compare agreement between two methods |
| compare.default | Compare agreement between two methods |
| compare.PlackettLuce | Compare agreement between two methods |
| 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.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 |
| kendallW | Kendall's W (coefficient of concordance) |
| kendallW.default | Kendall's W (coefficient of concordance) |
| kendallW.pltree | Kendall's W (coefficient of concordance) |
| kenyachoice | Kenyan farmers’ preferences for agricultural and livelihood practices |
| likelihood_ratio | Likelihood-ratio test |
| nicabean | Common bean on-farm trial in Nicaragua |
| node_labels | Get node labels and rules used in a party tree |
| node_rules | Get node labels and rules used in a party tree |
| pairwise_probs | Compute pairwise probabilities |
| 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 |
| pseudo_rank | Add pseudo-rank to missing values |
| rank_numeric | Plackett-Luce rankings from numeric values |
| rank_tricot | Build Plackett-Luce rankings from tricot dataset |
| regret | Regret-based values for risk assessment |
| regret.default | Regret-based values for risk assessment |
| regret.list | Regret-based values for risk assessment |
| regret.pltree | Regret-based values for risk assessment |
| reliability | Probability of outperforming a check |
| reliability.default | Probability of outperforming a check |
| reliability.PlackettLuce | Probability of outperforming a check |
| reliability.pltree | Probability of outperforming a check |
| resample | Re-sample model estimates |
| rowbind | Combine R objects by rows |
| rowbind.default | Combine R objects by rows |
| rowbind.list | Combine R objects by rows |
| set_binomialfreq | Binomial frequency rankings from pairwise contests |
| set_paircomp | Pairwise comparison rankings |
| top_items | Get node labels and rules used in a party tree |
| worth_bar | Plot worth parameters |
| worth_map | Plot worth parameters |
| worth_map.default | Plot worth parameters |
| worth_map.list | Plot worth parameters |