MissMech: Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random

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. URL http://www.jstatsoft.org/v56/i06/.

Version: 1.0.2
Imports: graphics
Published: 2015-04-14
Author: Mortaza Jamshidian, Siavash Jalal, and Camden Jansen
Maintainer: Mortaza Jamshidian <mori at fullerton.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: MissMech citation info
In views: MissingData
CRAN checks: MissMech results

Downloads:

Reference manual: MissMech.pdf
Package source: MissMech_1.0.2.tar.gz
Windows binaries: r-devel: MissMech_1.0.2.zip, r-release: MissMech_1.0.2.zip, r-oldrel: MissMech_1.0.2.zip
macOS binaries: r-release: MissMech_1.0.2.tgz, r-oldrel: MissMech_1.0.2.tgz
Old sources: MissMech archive

Reverse dependencies:

Reverse depends: CryptRndTest

Linking:

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