Man pages for EMLasso
Fit (logistic) LASSO when there is missing data in the predictors

checkConvergence.glmnetCheck whether convergence has occurred in the zeroness of...
collectImputationModelsCollect data from a model, needed for multiple imputation...
convergenceDiagnosticsDiagnose convergence of EMLasso.lognet objects
crossValidateCrossvalidate a model
EMLassoFit EMLasso to a complete dataset, creating a GLoMo for each...
EMLasso.1lFit EMLasso for 1 lambda
EMLasso.1l.paramCollect parameters to EMLasso.1l into one list
EMLassoFromDirGet EMLasso from the save files in a folder
EMLasso-packageEM (logistic) LASSO
findReasonableLambdaHelperFunction to run on a dataset with not too much missing data...
fit.glmnetTailormade weighted fitting of logistic glmnet
fit.lognetTailormade weighted fitting of logistic glmnet
fit.logregFit logistic regression by using logistic LASSO with lambda=0
getMinMaxPosLikeGlmnetFind a region of interest in a set of lambdas given criteria...
imputeDs2FitDsReusable information to convert an imputed dataset to fitting...
lognetProbabilityReusableFunction to help calculate predicted probability of a lognet...
marginalCompleterWrapper to complete a dataset based on (univariate) marginal...
outcomeModelValidationReusablesCreate reusable part of validation (for rejection sampling)
plotCoefConvergencePlot coefficient evolution of EMLasso.lognet objects
postProcessEMLassoPostprocess EMLasso (e.g. add extra members or change class)
postProcessEMLasso1lPostprocess EMLasso for 1 lambda result (e.g. add extra...
predictorModelSamplingReusablesCreate reusable part of prediction for repeated sampling
predictProbpredict probabilities
retrieveLambdasRetrieve lambdas
sampleConditionalComplete a dataset conditional on a model and the outcomes
setDebugmodeEMLassoSet tracing of all calls on/off
simplyValidateValidate a model (to its original data)
thresHoldingSimple threshold selection for some sets of variables...
validateFunction.lognetvalidation function for use in...
EMLasso documentation built on May 2, 2019, 5:49 p.m.