Changes in version 0.4.4
* fixed Rcpp dependency problems
* fixed NA bug with reference forecasts
Changes in version 0.4.3
* improved missing value handling
* fixed bug in "EnsRocss"
Changes in version 0.4.2
* 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`
Changes in version 0.4.1
* Fixed CRAN NOTE on registration of native routines
* Fixed bug in setting up reference forecasts with missing observations
* Improved error handling with missing values in forecast
* Improve performance of `convert2prob` with reduced baseline
* Added missing value support for `count2prob`
* Fixed unit test causing episodic errors
Changes in version 0.4.0
* 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
Changes in version 0.3.0 (2016-09-28)
* 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.
Changes in version 0.2.0 (2016-01-25)
* 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
Changes in version 0.1.8 (2015-10-25)
* prepared package for release on CRAN
Changes in version 0.1.7.3
* added support for ensembles of size 1
Changes in version 0.1.7.2
* 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
Changes in version 0.1.7.0
* 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
Changes in version 0.1.6.0
* added `toymodel` to produce forecast-observation pairs
* added `toyarray` to produce multiple independent forecast-observation pairs, for example at different spatial locations
Changes in version 0.1.5.3
* Fixed bug in `veriApply` for reformatting output of scores (not affecting skill scores)
Changes in version 0.1.5.2
* Added ECOMS-UDG / easyVerification vignette
Changes in version 0.1.5.1
* updated documentation for elementary skill functions
Changes in version 0.1.5
* 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
Changes in version 0.1.4.2
* 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
* Bug fix (scaling) of standard error provided in `EnsRocss`
Changes in version 0.1.4
* 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)
Changes in version 0.1.3
* `Ens2AFC` Added the generalized discrimination score for ensembles.
Changes in version 0.1.2
* Moved repository to new location on github.com.
* Added vignette documenting the basic functionality of the package.
* Bugfix for ensembles of size 1.
* Removed redundant checks on ensemble size.