Man pages for mi
Missing Data Imputation and Model Checking
| 00mi-package | Iterative Multiple Imputation from Conditional Distributions |
| 01missing_variable | Class "missing_variable" and Inherited Classes |
| 02missing_data.frame | Class "missing_data.frame" |
| 03change | Make Changes to Discretionary Characteristics of Missing... |
| 04mi | Multiple Imputation |
| 05Rhats | Convergence Diagnostics |
| 06pool | Estimate a Model Pooling Over the Imputed Datasets |
| 07complete | Extract the Completed Data |
| allcategorical_missing_data.frame | Class "allcategorical_missing_data.frame" |
| bounded | Class "bounded-continuous" |
| categorical | Class "categorical" and Inherited Classes |
| censored-continuous | The "censored-continuous" Class, the "truncated-continuous"... |
| CHAIN | Subset of variables from the CHAIN project |
| continuous | Class "continuous" |
| count | Class "count" |
| experiment_missing_data.frame | Class "experiment_missing_data.frame" |
| fit_model | Wrappers To Fit a Model |
| get_parameters | An Extractor Function for Model Parameters |
| hist | Histograms of Multiply Imputed Data |
| irrelevant | Class "irrelevant" and Inherited Classes |
| mi2stata | Exports completed data in Stata (.dta) or comma-separated... |
| mi-internal | Internal Functions and Methods |
| mipply | Apply a Function to a Object of Class mi |
| multilevel_missing_data.frame | Class "multilevel_missing_data.frame" |
| multinomial | The multinomial family |
| nlsyV | National Longitudinal Survey of Youth Extract |
| positive | Class "positive-continuous" and Inherited Classes |
| rdata.frame | Generate a random data.frame with tunable characteristics |
| semi-continuous | Class "semi-continuous" and Inherited Classes |
