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.
For estimation of a variable of interest using Kalman filter by incorporating results from previous assessments, i.e. through development weighted estimates where weights are assigned inversely proportional to the variance of existing and new estimates. For reference see Ehlers et al. (2017) <doi:10.20944/preprints201710.0098.v1>.
| Version: | 1.0 |
| Depends: | R (≥ 3.1) |
| Imports: | Rcpp (≥ 0.12.4) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2017-11-02 |
| Author: | Svetlana Saarela and Anton Grafström |
| Maintainer: | Svetlana Saarela <admin at svetlanasaarela.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | DatAssim results |
| Reference manual: | DatAssim.pdf |
| Package source: | DatAssim_1.0.tar.gz |
| Windows binaries: | r-devel: DatAssim_1.0.zip, r-release: DatAssim_1.0.zip, r-oldrel: DatAssim_1.0.zip |
| macOS binaries: | r-release (arm64): DatAssim_1.0.tgz, r-oldrel (arm64): DatAssim_1.0.tgz, r-release (x86_64): DatAssim_1.0.tgz, r-oldrel (x86_64): DatAssim_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=DatAssim 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.