To test whether the missing data mechanism, in a set of incompletely observed data, is one of missing completely at random (MCAR). For detailed description see Jamshidian, M. Jalal, S., and Jansen, C. (2014). "MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)", Journal of Statistical Software, 56(6), 1-31. <https://www.jstatsoft.org/v56/i06/> <doi:10.18637/jss.v056.i06>.
Version: | 1.0.4 |
Depends: | R (≥ 2.10) |
Imports: | graphics, stats |
Published: | 2024-03-05 |
DOI: | 10.32614/CRAN.package.MissMech |
Author: | Mortaza Jamshidian [aut], Siavash Jalal [aut], Camden Jansen [aut], Mao Kobayashi [cre] |
Maintainer: | Mao Kobayashi <kobamao.jp at gmail.com> |
BugReports: | https://github.com/indenkun/MissMech/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/indenkun/MissMech |
NeedsCompilation: | no |
Citation: | MissMech citation info |
Materials: | README NEWS |
CRAN checks: | MissMech results |
Reference manual: | MissMech.pdf |
Package source: | MissMech_1.0.4.tar.gz |
Windows binaries: | r-devel: MissMech_1.0.4.zip, r-release: MissMech_1.0.4.zip, r-oldrel: MissMech_1.0.4.zip |
macOS binaries: | r-release (arm64): MissMech_1.0.4.tgz, r-oldrel (arm64): MissMech_1.0.4.tgz, r-release (x86_64): MissMech_1.0.4.tgz, r-oldrel (x86_64): MissMech_1.0.4.tgz |
Old sources: | MissMech archive |
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