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MissMech

swMATH ID: 24416
Software Authors: Jamshidian, Mortaza; Jalal, Siavash; Jansen, Camden
Description: R Package 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/.
Homepage: https://cran.r-project.org/web/packages/MissMech/index.html
Source Code:  https://github.com/cran/MissMech
Dependencies: R
Keywords: Anderson-Darling; Hawkins; homogeneity of covariances; goodness of fit test; imputation; incomplete data; maximum likelihood estimate; missing data; Neyman test; test of missing completely at random; R package; Journal of Statistical Software
Related Software: R; ggplot2; mvnormtest; forecast; Amelia; impute; EQS; BaylorEdPsych; imputeTS; glme; PLmixed; nlme; CLME; lme4; bcmixed; nortest; tseries; uroot; aTSA; nortsTest
Cited in: 6 Documents

Standard Articles

1 Publication describing the Software Year
MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR) Link
Mortaza Jamshidian; Siavash Jalal; Camden Jansen
2014

Cited in 1 Field

6 Statistics (62-XX)

Citations by Year