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/.
|Author||Mortaza Jamshidian, Siavash Jalal, and Camden Jansen|
|Date of publication||2015-04-14 07:30:05|
|Maintainer||Mortaza Jamshidian <email@example.com>|
|License||GPL (>= 2)|
agingdata: Montpetit and Bergeman Longitudinal Study on Aging Data
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Ddf: Hessian of the observed datat Multivariate Normal...
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Impute: Parametric and Non-Parameric Imputation
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Mls: ML Estimates of Mean and Covariance Based on Incomplete Data
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