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.
Estimate parameters of linear regression and logistic regression with missing covariates with missing data, perform model selection and prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M., TraumaBase Group (2020) <doi:10.1016/j.csda.2019.106907>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | mvtnorm, stats, MASS, norm, methods |
| Suggests: | knitr, rmarkdown, mice |
| Published: | 2021-04-12 |
| Author: | Wei Jiang [aut], Pavlo Mozharovskyi [ctb], Julie Josse [aut, cre], Imke Mayer [ctb] |
| Maintainer: | Julie Josse <julie.josserennes at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/julierennes/misaem |
| NeedsCompilation: | no |
| Citation: | misaem citation info |
| Materials: | README NEWS |
| In views: | MissingData |
| CRAN checks: | misaem results |
| Reference manual: | misaem.pdf |
| Vignettes: |
Linear regression and logistic regression with missing covariates |
| Package source: | misaem_1.0.1.tar.gz |
| Windows binaries: | r-devel: misaem_1.0.1.zip, r-release: misaem_1.0.1.zip, r-oldrel: misaem_1.0.1.zip |
| macOS binaries: | r-release (arm64): misaem_1.0.1.tgz, r-oldrel (arm64): misaem_1.0.1.tgz, r-release (x86_64): misaem_1.0.1.tgz, r-oldrel (x86_64): misaem_1.0.1.tgz |
| Old sources: | misaem archive |
| Reverse suggests: | WeightIt |
Please use the canonical form https://CRAN.R-project.org/package=misaem 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.