Man pages for stefvanbuuren/dsMice
DataSHIELD server-side functions for the mice package
| check.blocksDS | Name imputation blocks |
| checkClass | Checks that an object has the same class in all studies |
| check.dataform | Partial Computation for Model Fitted Values |
| check.m | Partial Computation for Model Fitted Values |
| checkpredictorMatrixDS | Creates a 'predictorMatrix' argument |
| check.visitSequence | Creates a 'visitSequence' argument |
| construct.blocksDS | Construct blocks from 'formulas' and 'predictorMatrix' |
| extract | Splits character by '$' and returns the single characters |
| findLoginObjects | searches for opal login object in the environment |
| getHistogram | Sum of Study Variable Elements |
| getImpute | Partial Computation for Model Fitted Values |
| getNa | Partial Computation for Model Fitted Values |
| getOpals | Gets the opal objects |
| getVarbyFormula | Access Data from Study and Response Variables by 'formula'. |
| getVarByName | Access Data from Study Variables by name. |
| getXValuesComplete | Partial Computation for Model Fitted Values |
| identifyNas | Identify missing values |
| isAssigned | Checks an object has been generated on the server side |
| isDefined | Checks if the objecs are defined in studies |
| is.naDS | is.na() for DataSHIELD server |
| isValidDS | Checks if an input is valid |
| make.blocksDS | Creates a 'blocks' argument |
| make.predictorMatrixDS | Creates a 'predictorMatrix' argument |
| make.visitSequence | Creates a 'visitSequence' argument |
| matrixMethod | The Method of Matrices |
| md.patternDS | Missing data pattern |
| miceDS | Multivariate Imputation by Chained Equations (MICE) |
| mice.midsDS | mice.mids algorithm for DataSHIELD server |
| name.blocksDS | Name imputation blocks |
| nimp | Number of imputations per block |
| partialDataset | Partial Computation for Model Fitted Values |
| setFilterDS | Sets the privacy level |
