Expectation-Maximization Algorithm for Multivariate Normal
(Gaussian) with Missing Data
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Documentation for package ‘EMgaussian’ version 0.2.1
Help Pages
| em.cov | EM algorithm for multivariate normal, covariance matrix parameterization |
| em.prec | EM algorithm for multivariate normal, precision matrix parameterization |
| EMggm | Regularized GGM under missing data with EBIC or k-fold cross validation |
| rhogrid | Create sequence of possible tuning parameter values |
| startvals.cov | Starting values for means and covariances |