Man pages for aggreCAT
Mathematically Aggregating Expert Judgments
| aggreCAT | aggreCAT: mathematically aggregating expert judgements |
| AverageWAgg | Aggregation Method: AverageWAgg |
| BayesianWAgg | Aggregation Method: BayesianWAgg |
| confidence_score_evaluation | Confidence Score Evaluation |
| confidence_score_heatmap | Confidence Score Heat Map |
| confidence_score_ridgeplot | Confidence Score Ridge Plot |
| data_comments | data_comments |
| data_confidence_scores | Confidence Scores generated for 25 papers with 22 aggregation... |
| data_justifications | Free-text justifications for expert judgements |
| data_outcomes | Replication outcomes for the papers |
| data_ratings | P1_ratings |
| data_supp_priors | A table of prior means, to be fed into the BayPRIORsAgg... |
| data_supp_quiz | A table of scores on the quiz to assess prior knowledge, to... |
| data_supp_reasons | Categories of reasons provided by participants for their... |
| DistributionWAgg | Aggregation Method: DistributionWAgg |
| ExtremisationWAgg | Aggregation Method: ExtremisationWAgg |
| IntervalWAgg | Aggregation Method: IntervalWAgg |
| LinearWAgg | Aggregation Method: LinearWAgg |
| method_placeholder | Placeholder function with TA2 output |
| pipe | Pipe operator |
| postprocess_judgements | Post-processing. |
| preprocess_judgements | Pre-process the data |
| ReasoningWAgg | Aggregation Method: ReasoningWAgg |
| ShiftingWAgg | Aggregation Method: ShiftingWAgg |
| weight_asym | Weighting method: Asymmetry of intervals |
| weight_interval | Weighting method: Width of intervals |
| weight_nIndivInterval | Weighting method: Individually scaled interval widths |
| weight_outlier | Weighting method: Down weighting outliers |
| weight_reason | Weighting method: Total number of judgement reasons |
| weight_reason2 | Weighting method: Total number and diversity of judgement... |
| weight_varIndivInterval | Weighting method: Variation in individuals’ interval widths |
