View source: R/weight_outlier.R
weight_outlier | R Documentation |
This method down-weights outliers.
weight_outlier(expert_judgements)
expert_judgements |
A dataframe in the form of data_ratings |
This function is used by LinearWAgg to calculate weights for the aggregation type
"OutWAgg"
. Outliers are given less weight by using the squared difference between the
median of an individual's best estimates across all claims and their best estimate
for the claim being assessed:
\loadmathjax
\mjdeqnd_i,c = \left(median{B_i,c__i=1,...,N} - B_i,c\right)^2ascii
Weights are given by 1 minus the proportion of the individual's squared difference relative to the maximum squared difference for the claim across all individuals:
\mjdeqnw\_out_i = 1 - \fracd_i,c\max(d_c))ascii
A tibble in the form of the input expert_judgements
argument with additional columns
supplying the calculated weight for each row's observation.
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