R: Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data

# Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data

## Documentation for package ‘EMgaussian’ version 0.2.1

- DESCRIPTION file.

## 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