NEWS
scoring 0.6 (2018-02-12)
- Weighted Brier decompositions, optionally with resampling,
are now available via brierscore().
- Scoring family parameters can now be specified by row,
allowing for a unique scoring rule for each forecast.
- logscore() now receives the reverse argument so that
scores go from -infty (worst) to 0 (best).
scoring 0.5-1 (2014-07-01)
- Fixed a bug in calcscore() when ordered=TRUE, whereby
forecasts associated with outcomes in the final category
were scored incorrectly.
scoring 0.5 (2013-11-27)
- Added support for scoring rules that are sensitive
to distance; see Jose et al, 2009, Management Science.
- Added Brier score convenience function that also returns
mean scores and Brier score decompositions. Also added
log score and spherical score convenience functions.
- Fixed bug in scalescores(), whereby a lower bound < 0 and
reverse=TRUE resulted in incorrect scaling.
- Added code testing via testthat package to ensure bugs stay
fixed.
scoring 0.4 (2013-09-20)
- Fixed bug in scalescores(), causing some min/max values of
pow- and sph-families to be computed incorrectly. This
impacted attempted use of the 'bounds' argument.
- Corrected the 'made' column of WeatherProbs to reflect correct
dates.
scoring 0.3 (2013-09-10)
- Added support for scoring forecasts with greater than 2
alternatives.
- Added data WeatherProbs, which contains three-category weather
forecasts concerning temperature and precipitation.
- Argument 'scaling' in calcscore() and plotscore() replaced with
'bounds', so the user can supply desired lower and upper bounds
of the scores.
- Added a 'reverse' argument that, if TRUE, assigns larger
scores to good forecasters (as opposed to smaller scores).
scoring 0.2 (2013-08-09)
- Fixed a bug associated with the beta family, where scaling=TRUE
sometimes still resulted in scores > 1.
- Updated Merkle & Steyvers reference to reflect its acceptance.