The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
An adaptation of the multi-variable stochastic weather generator proposed in 'Rglimclim' to perform gap-filling and temporal extension at sub-daily resolution. Simulation is performed based on large scale variables and climatic observation data that could be generated from different gauged stations having geographical proximity. SWG relies on reanalyses. Multi-variable dependence is taking into account by using the decomposition of the product rule (in statistics) into conditional probabilities. See <https://hal.archives-ouvertes.fr/hal-02554676>.
| Version: | 0.5 |
| Depends: | R (≥ 3.5.0), chron, glmnet, MASS |
| Published: | 2020-06-04 |
| Author: | Julie Carreau, Nesrine Farhani |
| Maintainer: | Nesrine Farhani <nesrine.farhani at ird.fr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| URL: | www.r-project.org |
| NeedsCompilation: | no |
| CRAN checks: | MetGen results |
| Reference manual: | MetGen.pdf |
| Package source: | MetGen_0.5.tar.gz |
| Windows binaries: | r-devel: MetGen_0.5.zip, r-release: MetGen_0.5.zip, r-oldrel: MetGen_0.5.zip |
| macOS binaries: | r-release (arm64): MetGen_0.5.tgz, r-oldrel (arm64): MetGen_0.5.tgz, r-release (x86_64): MetGen_0.5.tgz, r-oldrel (x86_64): MetGen_0.5.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MetGen to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.