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