Estimation for a Single Component Multivariate Normal with Missingness.
fit.mvn.miss(data, init_mean, fix_mean, init_cov, maxit, eps, report)Numeric data matrix.
Optional initial mean vector.
Fix the means to their starting value? Must initialize.
Optional initial covariance matrix.
Maximum number of EM iterations.
Minimum acceptable increment in the EM objective.
Report fitting progress?
List containing the final `Mean`, `Covariance`, EM `Objective` and a `Completed` data matrix.