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.
Mechanistically models/predicts the phenology (macro-phases) of 10 crop plants (trained on a big dataset over 80 years derived from the German weather service (DWD) <https://opendata.dwd.de/>). Can be applied for remote sensing purposes, dynamically check the best subset of available covariates for the given dataset and crop.
Version: | 0.1.2 |
Depends: | R (≥ 3.5.0) |
Imports: | stats, utils |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-05-02 |
DOI: | 10.32614/CRAN.package.DyMEP |
Author: | Flavian Tschurr |
Maintainer: | Flavian Tschurr <flavian.tschurr at usys.ethz.ch> |
License: | LGPL (≥ 3) |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | DyMEP results |
Reference manual: | DyMEP.pdf |
Package source: | DyMEP_0.1.2.tar.gz |
Windows binaries: | r-devel: DyMEP_0.1.2.zip, r-release: DyMEP_0.1.2.zip, r-oldrel: DyMEP_0.1.2.zip |
macOS binaries: | r-release (arm64): DyMEP_0.1.2.tgz, r-oldrel (arm64): DyMEP_0.1.2.tgz, r-release (x86_64): DyMEP_0.1.2.tgz, r-oldrel (x86_64): DyMEP_0.1.2.tgz |
Old sources: | DyMEP archive |
Please use the canonical form https://CRAN.R-project.org/package=DyMEP 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.