diff --git a/DESCRIPTION b/DESCRIPTION index 86cd6df..1531a3a 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,10 +1,9 @@ Package: downscaleR Depends: R(>= 3.5.0), - transformeR(>= 2.0.0) + transformeR(>= 2.0.1) Imports: reticulate, - lubridate, deepnet, glmnet, abind, @@ -26,8 +25,8 @@ Suggests: rmarkdown Type: Package Title: A climate4R package for statistical downscaling -Version: 3.3.0 -Date: 2020-05-23 +Version: 3.3.1 +Date: 2020-06-04 Authors@R: as.person(c( "Santander Meteorology Group [cph]", "JoaquĆ­n Bedia [aut, cre]", @@ -46,7 +45,7 @@ Authors@R: as.person(c( BugReports: https://github.com/SantanderMetGroup/downscaleR/issues URL: http://www.meteo.unican.es/climate4r Encoding: UTF-8 -Description: Tools for climate data calibration (bias correction, qauntile mapping etc.) and perfect-prog downscaling, as part of climate4R bundle (). Focused on daily data, downscaleR is conceived for dealing also with seasonal forecast ensemble predictions. +Description: Tools for climate data calibration (bias correction, quantile mapping etc.) and perfect-prog downscaling, as part of the climate4R framework (). License: GPL (>= 3) LazyData: true RoxygenNote: 7.1.0 diff --git a/NEWS b/NEWS index 4604d1a..c2feb1a 100644 --- a/NEWS +++ b/NEWS @@ -75,5 +75,9 @@ See the [Releases section](https://github.com/SantanderMetGroup/downscaleR/relea ## v3.3.0 (23 May 2020) * Update examples and other minor updates to include the new datasets from climate4R.datasets -## v3.3.1 (ongoing) -* New parameter in downscaleTrain: 'predict', to return the prediction in the train set +## v3.3.1 (04 Jun 2020) + + * New parameter in downscaleTrain: 'predict', to return the prediction in the train set + * Internal flag to force non-overlapping nearest-neighbour application within `biasCorrection` (recommended for chunking, depends on transformeR >= 2.0.1) + * Avoid dependency from lubridate + * Other minor changes and documentation updates