Missing Data Imputation Using Gaussian Copulas
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Documentation for package ‘mdgc’ version 0.1.7
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 |