Man pages for stefvanbuuren/dsMiceClient
Distributed Multiple Imputations
| check.method | Creates a 'method' argument |
| check.visitSequence | Creates a 'visitSequence' argument |
| ds.estimice | Computes least squares parameters for DataSHIELD |
| ds.findNas | Model Fitted Values |
| ds.histogram | Combined Histogram |
| ds.impute | Model Fitted Values |
| ds.impute_bkp | Linear Regression |
| ds.linear | Linear Regression |
| ds.mdPattern | Model Fitted Values |
| ds.mice | Multivariate Imputation by Chained Equations (MICE) |
| ds.norm.draw | Draws values of beta and sigma by Bayesian linear regression... |
| ds.test1 | Model Fitted Values |
| extend.formulaDS | Extends a formula with predictors |
| extend.formulas | Extends formula's with predictor matrix settings |
| extract | Splits character by '$' and returns the single characters |
| findLoginObjects | searches for opal login object in the environment |
| getOpals | Gets the opal objects |
| isAssigned | Checks an object has been generated on the server side |
| isDefined | Checks if the objecs are defined in studies |
| login | A convenience function for logging into an DataSHIELD cluster |
| make.formulas | Creates a 'formulas' argument |
| make.method | Creates a 'method' argument |
| make.visitSequence | Creates a 'visitSequence' argument |
| mice.impute.ds.mean | Imputation by the mean for DataSHIELD |
| mice.impute.ds.norm | Imputation by Bayesian linear regression for DataSHIELD |
| mice.impute.ds.pmm | Imputation by predictive mean matching for DataSHIELD |
| name.blocks | Name imputation blocks |
| name.formulasDS | Name formula list elements |
