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.
Fully parametric Bayesian multiple imputation framework for massive multivariate data of different variable types as seen in Demirtas, H. (2017) <doi:10.1007/978-981-10-3307-0_8>.
| Version: | 1.0 |
| Imports: | BinOrdNonNor, CorrToolBox, corpcor, Matrix, moments, norm, PoisNonNor |
| Suggests: | PoisBinOrdNonNor |
| Published: | 2018-04-09 |
| Author: | Rawan Allozi, Hakan Demirtas |
| Maintainer: | Rawan Allozi <ralloz2 at uic.edu> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | MultiVarMI results |
| Reference manual: | MultiVarMI.pdf |
| Package source: | MultiVarMI_1.0.tar.gz |
| Windows binaries: | r-devel: MultiVarMI_1.0.zip, r-release: MultiVarMI_1.0.zip, r-oldrel: MultiVarMI_1.0.zip |
| macOS binaries: | r-release (arm64): MultiVarMI_1.0.tgz, r-oldrel (arm64): MultiVarMI_1.0.tgz, r-release (x86_64): MultiVarMI_1.0.tgz, r-oldrel (x86_64): MultiVarMI_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MultiVarMI 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.