Changes in version 0.4.4 (2017-12-04) o fixed Rcpp dependency problems o fixed NA bug with reference forecasts Changes in version 0.4.3 (2017-07-04) o improved missing value handling o fixed bug in "EnsRocss" Changes in version 0.4.2 (2017-05-18) o Fixed bug with missing values and na.rm=T in translating to categorical forecasts in `convert2prob` o Fixed issue with limited amount of unique values in `convert2prob` Changes in version 0.4.1 (2017-03-13) o Fixed CRAN NOTE on registration of native routines o Fixed bug in setting up reference forecasts with missing observations o Improved error handling with missing values in forecast o Improve performance of `convert2prob` with reduced baseline o Added missing value support for `count2prob` o Fixed unit test causing episodic errors Changes in version 0.4.0 (2017-01-23) o Adopted to new version of SpecsVerification (0.5.0) o Fully implemented out-of-sample computation of percentile thresholds o Changed to new implementation of AUC in 'SpecsVerification' with standard errors Changes in version 0.3.0 (2016-09-28) o added support for out-of-sample reference forecasts (user-defined or by keyword for a few standard approaches, issues #1 and #2) o added support for difference in scores functions (related to skill scores) o removed onload function to check package version. Updating is now dealt with by update.packages as for other CRAN packages. o removed non-sensical mean error skill score `EnsMess`. o deprecated ill-defined ROC area skill score. In future versions, only the ROC area score will be implemented `EnsRoca`. o Added reliability categorization following Weisheimer et al. (2014). o fixed bug in `convert2prob` for climatological forecasts (reduced set of values to compute percentile boundaries for consistency). o fix for `FairRpss` against climatological reference forecast with category boundaries defined on distribution of verifying observations. Changes in version 0.2.0 (2016-01-25) o Added ignorance score for probability forecasts `EnsIgn` and skill score `EnsIgnss` o replaced `EnsRoca` and `rank.ensembles` in `Ens2AFC` with C++ equivalents that are slightly faster o added documentation for `veriApply` (issue #4) o added multi-model option for relative thresholds to `convert2prob` o added support for named vector output in functions such as `Corr` and `CorrDiff` from `SpecsVerification` o added bug fix from Henrik Bengtsson (pull request #3) o updated documentation also to reflect that package is now available on CRAN o minor bugfixes Changes in version 0.1.8 (2015-10-15) o prepared package for release on CRAN Changes in version 0.1.7.3 o added support for ensembles of size 1 Changes in version 0.1.7.2 o fixed documentation o added new function to convert counts (from `convert2prob`) to probabilities (`count2prob`) ## easyVerificaiton 0.1.7.1 o additional arguments for parallel processing courtesy of Matteo De Felice Changes in version 0.1.7.0 o added parallelization of `veriApply` using the `parallel` package o parallelization is based on FORK nodes, and thus won't work under Windows o under Windows and if `parallel` is not available, the original, unparallelized fallback is used o parallelization will use up to 16 nodes, but will leave one node free for other tasks Changes in version 0.1.6.0 o added `toymodel` to produce forecast-observation pairs o added `toyarray` to produce multiple independent forecast-observation pairs, for example at different spatial locations Changes in version 0.1.5.3 o Fixed bug in `veriApply` for reformatting output of scores (not affecting skill scores) Changes in version 0.1.5.2 o Added ECOMS-UDG / easyVerification vignette Changes in version 0.1.5.1 o updated documentation for elementary skill functions Changes in version 0.1.5 o 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) o bug fix in `veriApply` with minimal forecast, observation examples Changes in version 0.1.4.2 o 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 Changes in version 0.1.4.1 o Bug fix (scaling) of standard error provided in `EnsRocss` Changes in version 0.1.4 o Support for dressed metrics from `SpecsVerification`. Only the standard dressing method ("silverman") is supported so far. o Significance for `EnsRocss` o `FairSprErr` Fair spread error ratio o `EnsRocss` allow for arbitrary reference forecasts in ROC area skill score (no significance for reference forecasts with ROC area != 0.5) Changes in version 0.1.3 o `Ens2AFC` Added the generalized discrimination score for ensembles. Changes in version 0.1.2 o Moved repository to new location on github.com. o Added vignette documenting the basic functionality of the package. o Bugfix for ensembles of size 1. o Removed redundant checks on ensemble size.