AverageWAgg             Aggregation Method: AverageWAgg
BayesianWAgg            Aggregation Method: BayesianWAgg
DistributionWAgg        Aggregation Method: DistributionWAgg
ExtremisationWAgg       Aggregation Method: ExtremisationWAgg
IntervalWAgg            Aggregation Method: IntervalWAgg
LinearWAgg              Aggregation Method: LinearWAgg
ReasoningWAgg           Aggregation Method: ReasoningWAgg
ShiftingWAgg            Aggregation Method: ShiftingWAgg
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 methods
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 aggregation method
data_supp_quiz          A table of scores on the quiz to assess prior
                        knowledge, to be fed into the QuizWAgg
                        aggregation method
data_supp_reasons       Categories of reasons provided by participants
                        for their expert judgements
method_placeholder      Placeholder function with TA2 output
postprocess_judgements
                        Post-processing.
preprocess_judgements   Pre-process the data
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 reasons
weight_varIndivInterval
                        Weighting method: Variation in individuals’
                        interval widths
