weight_nIndivInterval {aggreCAT}R Documentation

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

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.

\[w\_nIndivInterval_{i,c} = \frac{1}{\frac{U_{i,c}-L_{i,c}}{\max\left({(U_{i,d}-L_{i,d}):d=1,...,C}\right)}}\]

Value

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


[Package aggreCAT version 1.0.0 Index]