Doc update

DESCRIPTION

@@ -28,7 +28,7 @@ Suggests:
 Type: Package
 Title: A climate4R package for statistical downscaling <http://meteo.unican.es/climate4r>
 Version: 3.1.0
-Date: 2019-07-01
+Date: 2019-07-09
 Authors@R: as.person(c(
     "Santander Meteorology Group <http://meteo.unican.es> [cph]",
     "Joaquín Bedia <[email protected]> [aut, cre]",
@@ -44,9 +44,9 @@ Authors@R: as.person(c(
     "Beata Szabo-Takacs <[email protected]> [ctb]",
     "Max Tuni <[email protected]> [ctb]"))
 BugReports: https://github.com/SantanderMetGroup/downscaleR/issues
-URL: https://github.com/SantanderMetGroup/downscaleR/wiki
+URL: http://www.meteo.unican.es/climate4r
 Encoding: UTF-8
-Description: Tools for climate data calibration (bias correction, qq-mapping...) and perfect-prog downscaling, as part of climate4R bundle (<http://meteo.unican.es/climate4R>). Focused on daily data, downscaleR is conceived for dealing also with seasonal forecast ensemble predictions.
+Description: Tools for climate data calibration (bias correction, qauntile mapping etc.) and perfect-prog downscaling, as part of climate4R bundle (<http://meteo.unican.es/climate4R>). Focused on daily data, downscaleR is conceived for dealing also with seasonal forecast ensemble predictions.
 License: GPL (>= 3)
 LazyData: true
 RoxygenNote: 6.1.1

NEWS

@@ -42,8 +42,10 @@ See the [Releases section](https://github.com/SantanderMetGroup/downscaleR/relea
 * New method for bias correction: mva (Mean and Variance Adjustment)
 * Other minor changes and documentation updates
 
-## v3.1.0 (01 Jul 2019)
-* New downscaleChunk function, to handle large experiments
+## v3.1.0 (09 Jul 2019)
+* New `downscaleChunk` function, to handle large experiments by chunks
 * downscale.cv renamed --> downscaleCV
 * downscale.train renamed --> downscaleTrain
 * downscale.predict renamed --> downscalePredict
+* Other minor changes and documentation updates
+