R: Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random

# Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random

## Documentation for package ‘MissMech’ version 1.0.4

- DESCRIPTION file
- Package NEWS
- Package README

## 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)