R: Missing Data Imputation Using Gaussian Copulas

# Missing Data Imputation Using Gaussian Copulas

## Documentation for package ‘mdgc’ version 0.1.7

- DESCRIPTION file
- Package NEWS

## Help Pages

mdgc-package | mdgc: Missing Data imputation using Gaussian Copulas
get_mdgc | Get mdgc Object
get_mdgc_log_ml | Get Pointer to C++ Object to Approximate the Log Marginal Likelihood
get_mdgc_log_ml.data.frame | Get Pointer to C++ Object to Approximate the Log Marginal Likelihood
get_mdgc_log_ml.default | Get Pointer to C++ Object to Approximate the Log Marginal Likelihood
get_mdgc_log_ml.mdgc | Get Pointer to C++ Object to Approximate the Log Marginal Likelihood
mdgc | Perform Model Estimation and Imputation
mdgc_fit | Estimate the Model Parameters
mdgc_impute | Impute Missing Values
mdgc_log_ml | Evaluate the Log Marginal Likelihood and Its Derivatives
mdgc_start_value | Get Starting Value for the Covariance Matrix Using a Heuristic
mdgc_start_value.default | Get Starting Value for the Covariance Matrix Using a Heuristic
mdgc_start_value.mdgc | Get Starting Value for the Covariance Matrix Using a Heuristic
_PACKAGE | mdgc: Missing Data imputation using Gaussian Copulas