model.review.reclassification: Generate reclassification tables and Net Reclassification...

In itslwg/SupaLarna: Package for the SuperLearner vs clincians study

Description

This function compares categorisation of categorised SuperLearner (SL) predictions and clinician's predictions. Analysis is conducted with nribin.

Usage

model.review.reclassification(study_sample, model_names,
  outcome_name = "s30d", models_to_invert = NULL)

Arguments

study_sample	Sample as data frame. No default
model_names	Names of list elements with model predictions in study_sample. Character vector. No default.
outcome_name	Name of outcome variable. As string. Defauls to "s30d".
models_to_invert	Character vector. Names of models to invert. Defaults to NULL.

itslwg/SupaLarna documentation built on Aug. 2, 2020, 1 a.m.