Man pages for itslwg/superlearnerr
Package for the SuperLearner vs clincians study
| apply.exclusion.criteria | Apply exclusion criteria function |
| compile.manuscript | Compile manuscript function |
| compile.supporting.information | Compile supporting information function |
| create.and.save.gridsearch.plot | Create and save gridsearch plot function |
| create.ROCR.plots.v2 | Create ROCR plots |
| create.table.of.sample.characteristics | Create sample characteristics table |
| drop.observations | Drop observations function |
| extract.from.pe.and.ci | Extract from point estimates and confidence intervals list... |
| extract.from.table | Extract from table function |
| generate.bootstrap.samples | Function to generate bootstrap samples |
| generate.confidence.intervals | Confidence interval function |
| generate.confidence.intervals.v2 | Confidence interval function |
| generate.predictions.bssamples | Function to generate predictions on each sample |
| keep.relevant.variables | Keep relevant variables |
| make.study | Make study function |
| model.review.AUROCC | Area Under Receiver Operating Characteristics Curve (AUROCC)... |
| model.review.reclassification | Generate reclassification tables and Net Reclassification... |
| model.review.with.rocr | Review model with rocr package function |
| predictions.with.superlearner | Generate predictions with SuperLearner |
| prep.bssamples | Function to prepare data on bootstrap samples |
| prep.data.for.superlearner | Prepare data function |
| report | Report function |
| split.labels | Split labels |
