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Releases: SantanderMetGroup/climate4R

climate4R v2.5.4

28 Mar 15:31
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New in v2.5.4:

  • Dockerfile update for hubipcc:1.0.1. This uses jupyterlab and a custom conda environment for climate4r
  • Documentation updates in R/

climate4R v2.5.3

09 Aug 07:28
7d0587d
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This is the first release of the climate4R environment based entirely on conda packages. Note that the conda package is now named r-climate4r, to follow the common practice of prepending R packages by r- in conda. These two major installation changes motivated the change in the major version numbering, otherwise keeping the minor and patch sequence (to make clear that no major development in the underlying packages has occured).

This release consists of (updated packages w.r.t. the previous release in boldface):

R package version
climate4R.UDG v0.2.3
loadeR.java v1.1.1
loadeR v1.7.1
loadeR.ECOMS v1.4.6
transformeR v2.1.3
downscaleR v3.3.3
downscaleR.keras v1.0.0
visualizeR v1.6.1
convertR v0.2.0
geoprocessoR v0.2.0
climate4R.climdex v0.2.2
climate4R.indices v0.2.0
loadeR.2nc v0.1.2
fireDanger v1.1.0
VALUE v2.2.1
climate4R.value v0.0.2
mopa v1.0.2
drought4R v0.2.0
climate4R.datasets v0.0.1

climate4R v1.5.1

13 Jul 07:38
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This release consists of:

Package version
climate4R.UDG v0.2.3
loadeR.java v1.1.1
loadeR v1.7.1
loadeR.ECOMS v1.4.6
transformeR v2.1.2
downscaleR v3.3.3
downscaleR.keras v1.0.0
visualizeR v1.6.1
convertR v0.2.0
geoprocessoR v0.2.0
climate4R.climdex v0.2.2
climate4R.indices v0.2.0
loadeR.2nc v0.1.2
fireDanger v1.1.0
VALUE v2.2.1
climate4R.value v0.0.2
mopa v1.0.2
drought4R v0.2.0
climate4R.datasets v0.0.1