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.
This is an EM algorithm based method for imputation of missing values in multivariate normal time series. The imputation algorithm accounts for both spatial and temporal correlation structures. Temporal patterns can be modeled using an ARIMA(p,d,q), optionally with seasonal components, a non-parametric cubic spline or generalized additive models with exogenous covariates. This algorithm is specially tailored for climate data with missing measurements from several monitors along a given region.
| Version: | 0.3.5 |
| Depends: | R (≥ 3.0.0), utils, stats, gam, splines |
| Published: | 2018-01-23 |
| Author: | Washington Junger and Antonio Ponce de Leon |
| Maintainer: | Washington Junger <wjunger at ims.uerj.br> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | TimeSeries |
| CRAN checks: | mtsdi results |
| Reference manual: | mtsdi.pdf |
| Package source: | mtsdi_0.3.5.tar.gz |
| Windows binaries: | r-devel: mtsdi_0.3.5.zip, r-release: mtsdi_0.3.5.zip, r-oldrel: mtsdi_0.3.5.zip |
| macOS binaries: | r-release (arm64): mtsdi_0.3.5.tgz, r-oldrel (arm64): mtsdi_0.3.5.tgz, r-release (x86_64): mtsdi_0.3.5.tgz, r-oldrel (x86_64): mtsdi_0.3.5.tgz |
| Old sources: | mtsdi archive |
| Reverse imports: | ForecastComb, GeomComb |
Please use the canonical form https://CRAN.R-project.org/package=mtsdi 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.