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Major update #166
Major update #166
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Update branch with newest version of check_forecasts function
Update branch with latest version of check function... again...
update branch from master
Merge branch 'simplify-eval-forecasts' of https://github.com/epiforecasts/scoringutils into simplify-eval-forecasts # Conflicts: # R/pit.R # man/pit.Rd # man/pit_df.Rd
rename sharpness to dispersion
reduce the number of arguments to eval_forecasts() get rid of verbose argument in most instances eliminate by argument by requiring users to only include relevant columns replace list of arguments for interval_score by ... remove PIT plots from eval_forecasts() remove summarised argument and always summarise (users can just pass in every column to summarise_by to avoid any summary taking place. simplify code for PIT values by returning PIT values rather than p-values from an Anderson-Darling test creating a version that works on a data.frame and returns a list that can then get passed to plotting function
Codecov Report
@@ Coverage Diff @@
## master #166 +/- ##
==========================================
+ Coverage 54.56% 56.68% +2.11%
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Files 19 22 +3
Lines 1468 1362 -106
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- Hits 801 772 -29
+ Misses 667 590 -77
Continue to review full report at Codecov.
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Feature updates
can easily be piped and have simplified arguments and outputs.
new functions and function changes
eval_forecasts
was replaced by a function [score()] with amuch reduced set of function arguments.
to a function [summarise_scores()]
intervals
forecasts
plot_
pit
functionwas renamed to [pit_sample()]. PIT p-values were removed entirely.
restricted to sample-based, quantile-based or binary forecasts.
the mean before returning an output.
package data updated
(https://covid19forecasthub.eu/).
example_
summary_metrics
was included that contains a summary of themetrics implemented in
scoringutils
Other breaking changes
dispersion. This was done to make it more clear what the component represents
and to maintain consistency with what is used in other places.