Man pages for EMLasso
Fit (logistic) LASSO when there is missing data in the predictors
| checkConvergence.glmnet | Check whether convergence has occurred in the zeroness of... |
| collectImputationModels | Collect data from a model, needed for multiple imputation... |
| convergenceDiagnostics | Diagnose convergence of EMLasso.lognet objects |
| crossValidate | Crossvalidate a model |
| EMLasso | Fit EMLasso to a complete dataset, creating a GLoMo for each... |
| EMLasso.1l | Fit EMLasso for 1 lambda |
| EMLasso.1l.param | Collect parameters to EMLasso.1l into one list |
| EMLassoFromDir | Get EMLasso from the save files in a folder |
| EMLasso-package | EM (logistic) LASSO |
| findReasonableLambdaHelper | Function to run on a dataset with not too much missing data... |
| fit.glmnet | Tailormade weighted fitting of logistic glmnet |
| fit.lognet | Tailormade weighted fitting of logistic glmnet |
| fit.logreg | Fit logistic regression by using logistic LASSO with lambda=0 |
| getMinMaxPosLikeGlmnet | Find a region of interest in a set of lambdas given criteria... |
| imputeDs2FitDs | Reusable information to convert an imputed dataset to fitting... |
| lognetProbabilityReusable | Function to help calculate predicted probability of a lognet... |
| marginalCompleter | Wrapper to complete a dataset based on (univariate) marginal... |
| outcomeModelValidationReusables | Create reusable part of validation (for rejection sampling) |
| plotCoefConvergence | Plot coefficient evolution of EMLasso.lognet objects |
| postProcessEMLasso | Postprocess EMLasso (e.g. add extra members or change class) |
| postProcessEMLasso1l | Postprocess EMLasso for 1 lambda result (e.g. add extra... |
| predictorModelSamplingReusables | Create reusable part of prediction for repeated sampling |
| predictProb | predict probabilities |
| retrieveLambdas | Retrieve lambdas |
| sampleConditional | Complete a dataset conditional on a model and the outcomes |
| setDebugmodeEMLasso | Set tracing of all calls on/off |
| simplyValidate | Validate a model (to its original data) |
| thresHolding | Simple threshold selection for some sets of variables... |
| validateFunction.lognet | validation function for use in... |
