Utilities for Scoring and Assessing Predictions


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Documentation for package ‘scoringutils’ version 0.1.0

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bias Determines bias of forecasts
binary_example_data Binary Example Data
brier_score Brier Score
continuous_example_data Continuous Example Data
crps Ranked Probability Score
dss Dawid-Sebastiani Score
eval_forecasts Evaluate forecasts
hist_PIT PIT Histogram
integer_example_data Integer Example Data
interval_score Interval Score
logs LogS
mse Mean Squared Error
pit Probability Integral Transformation
quantile_example_data Quantile Example Data
scoringutils scoringutils
sharpness Determines sharpness of a probabilistic forecast