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... |

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