weight_nIndivInterval: Weighting method: Individually scaled interval widths

In aggreCAT: Mathematically Aggregating Expert Judgments

Weighting method: Individually scaled interval widths

Description

Weighted by the rescaled interval width within individuals across claims.

Usage

weight_nIndivInterval(expert_judgements)

Arguments

expert_judgements

A dataframe in the form of data_ratings

Details

\loadmathjax

This function is used inside IntervalWAgg for aggregation types "IndIntWAgg", "IndIntAsymWAgg" and "KitchSinkWAgg". Interval width weights are rescaled relative to an individuals interval widths across all claims.

\mjdeqn

w\_nIndivInterval_i,c = \frac1\fracU_i,c-L_i,c\max\left({(U_i,d-L_i,d):d=1,...,C}\right)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.

See Also

Other weighting functions: weight_asym(), weight_interval(), weight_outlier(), weight_reason(), weight_reason2(), weight_varIndivInterval()

aggreCAT documentation built on May 4, 2026, 5:07 p.m.