LASSO Logistic Regression for Binary Classification
Source:R/lassologistic.b.R
lassologisticClass.RdPerforms LASSO-penalized logistic regression for variable selection in binary classification problems. Supports LASSO, Ridge, and Elastic Net penalties. Includes suitability assessment, bootstrap validation, ROC analysis, and automated scoring system generation.
Value
An R6 class generator object for the lassologisticClass backend; used internally by the jamovi analysis wrapper and not called directly.
Super classes
jmvcore::Analysis -> lassologisticBase -> lassologisticClass
Methods
Inherited methods
jmvcore::Analysis$.createImage()jmvcore::Analysis$.createImages()jmvcore::Analysis$.createPlotObject()jmvcore::Analysis$.getSessionTemp()jmvcore::Analysis$.load()jmvcore::Analysis$.render()jmvcore::Analysis$.save()jmvcore::Analysis$.savePart()jmvcore::Analysis$.setCheckpoint()jmvcore::Analysis$.setParent()jmvcore::Analysis$.setReadDatasetHeaderSource()jmvcore::Analysis$.setReadDatasetSource()jmvcore::Analysis$.setResourcesPathSource()jmvcore::Analysis$.setStatePathSource()jmvcore::Analysis$addAddon()jmvcore::Analysis$asProtoBuf()jmvcore::Analysis$asSource()jmvcore::Analysis$check()jmvcore::Analysis$init()jmvcore::Analysis$optionsChangedHandler()jmvcore::Analysis$postInit()jmvcore::Analysis$print()jmvcore::Analysis$readDataset()jmvcore::Analysis$run()jmvcore::Analysis$serialize()jmvcore::Analysis$setError()jmvcore::Analysis$setStatus()jmvcore::Analysis$translate()lassologisticBase$initialize()