Releases: SantanderMetGroup/downscaleR
Releases · SantanderMetGroup/downscaleR
v3.3.4
v3.3.3 (05 Jul 2021)
- Minor bug fixes, documentation updates and enhancements
v3.3.2
v3.3.2 (09 Feb 2021)
- Minor internal changes in biasCorrection for improved memory usage
- Other minor changes and documentation updates
- New optional parameter in functions downscalePredict, downscaleTrain, donwscaleCV and downscale called
simulatethat permits to simulate from the distributional parameters infered from the GLMs
v3.3.1
New in v3.3.1 (04 Jun 2020)
- Internal flag to force non-overlapping nearest-neighbour application within
biasCorrection(recommended for chunking, depends on transformeR >= 2.0.1) - New parameter in downscaleTrain: 'predict', to return the prediction in the train set
- Avoid dependency from lubridate
- Other minor changes and documentation updates
climate4R.datasets
v3.3.0 (23 May 2020)
- Update examples and other minor updates to include the new datasets from climate4R.datasets
v3.1.3
- New dependency: 'library sticky' for attributes containing variable information
v3.1.2
New in v3.1.1
- Bug fix in `downscaleCV'
- Improve the internal code of `downscaleChunk'
- Add qdm and dqm bias correction methods
- Bug fix in `biasCorrection'
submission downscaleR GMDD paper
New in v3.1.0
- New
downscaleChunkfunction, to handle large experiments by chunks - downscale.cv renamed --> downscaleCV
- downscale.train renamed --> downscaleTrain
- downscale.predict renamed --> downscalePredict
- Other minor changes and documentation updates
IPCC AR6 FoD
v3.0.6 (16 Apr 2019)
- downscale.cv admits regular grids
- New method for bias correction: mva (Mean and Variance Adjustment)
- Other minor changes and documentation updates