weight_varIndivInterval: Weighting method: Variation in individuals’ interval widths

In aggreCAT: Mathematically Aggregating Expert Judgments

Weighting method: Variation in individuals’ interval widths

Description

Calculates weights based on the variability of interval widths within individuals.

Usage

weight_varIndivInterval(expert_judgements)

Arguments

expert_judgements

A dataframe in the form of data_ratings

Details

This function is used inside IntervalWAgg for aggregation types "VarIndIntWAgg" and "KitchSinkWAgg". It calculates the difference between individual's upper and lower estimates, then calculates the variance in this interval across each individual's claim assessments. \loadmathjax \mjdeqnw\_varIndivInterval_i = var{(U_i,d-L_i,d):c=1,...,C}ascii

Value

A tibble in the form of the input expert_judgements argument with additional columns supplying the calculated weight for each row's observation.

aggreCAT documentation built on June 8, 2025, 11:06 a.m.