Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random

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Documentation for package ‘MissMech’ version 1.0.4

• DESCRIPTION file.
• Package NEWS.

Help Pages

MissMech-package	Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
agingdata	Montpetit and Bergeman Longitudinal Study on Aging Data
AndersonDarling	K-Sample Anderson Darling Test
AndresonDarling	K-Sample Anderson Darling Test
boxplot.testhomosc	Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
Ddf	Hessian of the observed datat Multivariate Normal Log-Likelihood with Incomplete Data
DelLessData	Removes groups with identical missing data patterns having at most a given number of cases
Hawkins	Test Statistic for the Hawkins Homoscedasticity Test
Impute	Parametric and Non-Parameric Imputation
LegNorm	Evaluating Legendre's Polynomials of Degree 1, 2, 3, or 4
Mimpute	Parametric and Non-Parameric Imputation
MimputeS	Parametric and Non-Parameric Imputation
MinputeS	Parametric and Non-Parameric Imputation
MissMech	Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
Mls	ML Estimates of Mean and Covariance Based on Incomplete Data
OrderMissing	Order Missing Data Pattern
print.orderpattern	Order Missing Data Pattern
print.testhomosc	Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
Sexpect	ML Estimates of Mean and Covariance Based on Incomplete Data
SimNey	Test of Goodness of Fit (Uniformity)
summary.orderpattern	Order Missing Data Pattern
summary.testhomosc	Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
TestMCARNormality	Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
TestUNey	Test of Goodness of Fit (Uniformity)