Mathematics
8 years ago

New tool detects missing data patterns for more accurate analysis.

Journal of Statistical Software
<b>MissMech</b>: An<i>R</i>Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)
Mortaza Jamshidian, Siavash Jalal, Camden Jansen

Paper Summary

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The MissMech package helps analyze incomplete data by testing if the missing data is random. It includes tests for normality and homoscedasticity, as well as methods for imputing missing data and estimating parameters. The package can also determine if multiple groups of data come from the same distribution and test for multivariate normality.