NEWS

easyVerification 0.4.4 (2017-12-04)

Fixed bug with missing values and na.rm=T in translating to categorical forecasts in 'convert2prob'
Fixed issue with limited amount of unique values in 'convert2prob'

Adopted to new version of SpecsVerification (0.5.0)
Fully implemented out-of-sample computation of percentile thresholds
Changed to new implementation of AUC in 'SpecsVerification' with standard errors

added support for out-of-sample reference forecasts (user-defined or by keyword for a few standard approaches, issues #1 and #2)
added support for difference in scores functions (related to skill scores)
removed onload function to check package version. Updating is now dealt with by update.packages as for other CRAN packages.
removed non-sensical mean error skill score 'EnsMess'.
deprecated ill-defined ROC area skill score. In future versions, only the ROC area score will be implemented 'EnsRoca'.
Added reliability categorization following Weisheimer et al. (2014).
fixed bug in 'convert2prob' for climatological forecasts (reduced set of values to compute percentile boundaries for consistency).
fix for 'FairRpss' against climatological reference forecast with category boundaries defined on distribution of verifying observations.

Added ignorance score for probability forecasts 'EnsIgn' and skill score 'EnsIgnss'
replaced 'EnsRoca' and 'rank.ensembles' in 'Ens2AFC' with C++ equivalents that are slightly faster
added documentation for 'veriApply' (issue #4)
added multi-model option for relative thresholds to 'convert2prob'
added support for named vector output in functions such as 'Corr' and 'CorrDiff' from 'SpecsVerification'
added bug fix from Henrik Bengtsson (pull request #3)
updated documentation also to reflect that package is now available on CRAN
minor bugfixes

fixed documentation
added new function to convert counts (from 'convert2prob') to probabilities ('count2prob') ## easyVerificaiton 0.1.7.1
additional arguments for parallel processing courtesy of Matteo De Felice

added parallelization of 'veriApply' using the 'parallel' package
parallelization is based on FORK nodes, and thus won't work under Windows
under Windows and if 'parallel' is not available, the original, unparallelized fallback is used
parallelization will use up to 16 nodes, but will leave one node free for other tasks

added 'toymodel' to produce forecast-observation pairs
added 'toyarray' to produce multiple independent forecast-observation pairs, for example at different spatial locations

Fixed bug in 'veriApply' for reformatting output of scores (not affecting skill scores)

probability and absolute thresholds for conversion of continuous forecasts to category forecasts can now be supplied to be forecast specific (e.g. different thresholds for different lead times and spatial locations)
bug fix in 'veriApply' with minimal forecast, observation examples

Fixed bug in missing value treatment with 'convert2prob'. This will not affect functions called using 'veriApply' as of yet as scores in 'veriApply' are only computed for complete forecast and observation pairs

Support for dressed metrics from 'SpecsVerification'. Only the standard dressing method ("silverman") is supported so far.
Significance for 'EnsRocss'
'FairSprErr' Fair spread error ratio
'EnsRocss' allow for arbitrary reference forecasts in ROC area skill score (no significance for reference forecasts with ROC area != 0.5)