Consensus Ranking of Variable Importance with Uncertainty
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Documentation for package ‘rankimp’ version 1.0.0
Help Pages
| applications | Synthetic loan applications, with the right answer attached |
| autoplot.consensus_rank | Visualise a consensus ranking against the panel it came from |
| autoplot.judge_clusters | Visualise the disagreement between judges |
| autoplot.rank_confsets | Visualise the rank confidence sets |
| consensus_rank | Kemeny consensus ranking of variable importance |
| importance_backends | Importance backends |
| importance_judges | Assemble the panel of judges |
| importance_loco | Importance backends |
| importance_mdi | Importance backends |
| importance_permutation | Importance backends |
| importance_shap | Importance backends |
| importance_to_rank | Turn importance scores into rankings |
| item_consensus | Agreement of each judge with the consensus |
| judge_clusters | Do the judges agree? |
| judge_weights | Weights for the panel of judges |
| print.consensus_rank | Kemeny consensus ranking of variable importance |
| print.judges | Assemble the panel of judges |
| print.judge_clusters | Do the judges agree? |
| print.rank_confsets | Bootstrap confidence sets for the consensus ranking |
| prob_topk | Probability that a variable lands in the top k |
| rank_confsets | Bootstrap confidence sets for the consensus ranking |
| rank_select | Select variables with a rank guarantee |