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 |
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