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.

missMethods: Methods for Missing Data

Supply functions for the creation and handling of missing data as well as tools to evaluate missing data methods. Nearly all possibilities of generating missing data discussed by Santos et al. (2019) <doi:10.1109/ACCESS.2019.2891360> and some additional are implemented. Functions are supplied to compare parameter estimates and imputed values to true values to evaluate missing data methods. Evaluations of these types are done, for example, by Cetin-Berber et al. (2019) <doi:10.1177/0013164418805532> and Kim et al. (2005) <doi:10.1093/bioinformatics/bth499>.

Version: 0.4.0
Imports: mvtnorm, stats, utils
Suggests: ggplot2, knitr, lpSolve, norm, rmarkdown, testthat (≥ 2.1.0), tibble
Published: 2022-09-16
DOI: 10.32614/CRAN.package.missMethods
Author: Tobias Rockel [aut, cre]
Maintainer: Tobias Rockel <Rockel.To at gmail.com>
BugReports: https://github.com/torockel/missMethods/issues
License: GPL-3
URL: https://github.com/torockel/missMethods
NeedsCompilation: no
Materials: README NEWS
In views: MissingData
CRAN checks: missMethods results

Documentation:

Reference manual: missMethods.pdf
Vignettes: Generating-missing-values

Downloads:

Package source: missMethods_0.4.0.tar.gz
Windows binaries: r-devel: missMethods_0.4.0.zip, r-release: missMethods_0.4.0.zip, r-oldrel: missMethods_0.4.0.zip
macOS binaries: r-release (arm64): missMethods_0.4.0.tgz, r-oldrel (arm64): missMethods_0.4.0.tgz, r-release (x86_64): missMethods_0.4.0.tgz, r-oldrel (x86_64): missMethods_0.4.0.tgz
Old sources: missMethods archive

Reverse dependencies:

Reverse imports: Indicator, kssa, MCARtest, QoLMiss
Reverse suggests: imputeGeneric

Linking:

Please use the canonical form https://CRAN.R-project.org/package=missMethods 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.