Add relative skill scores based on pairwise comparisons — add_relative

Adds a columns with relative skills computed by running pairwise comparisons on the scores. For more information on the computation of relative skill, see get_pairwise_comparisons(). Relative skill will be calculated for the aggregation level specified in by.

Usage

add_relative_skill(
  scores,
  compare = "model",
  by = NULL,
  metric = intersect(c("wis", "crps", "brier_score"), names(scores)),
  baseline = NULL
)

Arguments

scores: An object of class scores (a data.table with scores and an additional attribute metrics as produced by score()).
compare: Character vector with a single colum name that defines the elements for the pairwise comparison. For example, if this is set to "model" (the default), then elements of the "model" column will be compared.
by: Character vector with column names that define further grouping levels for the pairwise comparisons. By default this is NULL and there will be one relative skill score per distinct entry of the column selected in compare. If further columns are given here, for example, by = "location" with compare = "model", then one separate relative skill score is calculated for every model in every location.
metric: A string with the name of the metric for which a relative skill shall be computed. By default this is either "crps", "wis" or "brier_score" if any of these are available.
baseline: A string with the name of a model. If a baseline is given, then a scaled relative skill with respect to the baseline will be returned. By default (NULL), relative skill will not be scaled with respect to a baseline model.