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MissMech  

Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
View on CRAN: Click here


Download and install MissMech package within the R console
Install from CRAN:
install.packages("MissMech")

Install from Github:
library("remotes")
install_github("cran/MissMech")

Install by package version:
library("remotes")
install_version("MissMech", "1.0.4")



Attach the package and use:
library("MissMech")
Maintained by
Mao Kobayashi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-01-21
Latest Update: 2024-01-23
Description:
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. .
How to cite:
Mao Kobayashi (2014). MissMech: Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random. R package version 1.0.4, https://cran.r-project.org/web/packages/MissMech. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0.1 (2014-01-21 00:20), 1.0.2 (2015-04-14 07:30), 1.0.3 (2024-01-23 14:42), 1.0 (2013-07-06 07:18)
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Complete documentation for MissMech
Functions, R codes and Examples using the MissMech R package
Full MissMech package functions and examples
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