pit() for use in data.frames
pit(data, by, n_replicates = 100)
a data.frame with the following columns:
Character vector with the columns according to which the
PIT values shall be grouped. If you e.g. have the columns 'model' and
'location' in the data and want to have a PIT histogram for
every model and location, specify
the number of draws for the randomised PIT for integer predictions.
a data.table with PIT values according to the grouping specified in
Sebastian Funk, Anton Camacho, Adam J. Kucharski, Rachel Lowe, Rosalind M. Eggo, W. John Edmunds (2019) Assessing the performance of real-time epidemic forecasts: A case study of Ebola in the Western Area region of Sierra Leone, 2014-15, doi: 10.1371/journal.pcbi.1006785
result <- pit(example_continuous, by = "model") plot_pit(result) # example with quantile data result <- pit(example_quantile, by = "model") plot_pit(result)
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