LittleMCAR:
Little's missing completely at random (MCAR) test
Description
Uses Little's test to assess for missing completely at random for multivariate data with missing values
Usage
LittleMCAR(x)
Arguments
x
A data frame or data matrix of no more than 50 variables
Value
chi.square
Chi-square value
df
Degrees of freedom used for chi-square
missing.patterns
Number of missing data patterns
amount.missing
Amount and percent of mssing data
data
The data, organized my missing data patterns
Details
Depending on the sample size and number of missing data patterns, this function could take a long time to run.
References
Little, R. J. A. (1988). A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83(404), 1198--1202.