createEnsemble

The runPlp results for the different models to combine

runPlpList

If F then mean across models is used, if T must input weights or AUC weighting is used

weighted

A vector of length(runPlpList) with the weights to assign each model

weights

A package for creating patient level prediction models. Given a
cohort of interest and an outcome of interest, the package can use data in the
OMOP Common Data Model to build a large set of features. These features can then
be assessed to fit a predictive model using a number of machine learning algorithms.
Several performance measures are implemented for model evaluation.

Jenna Reps

createEnsemble: Combine models into an Ensemble

Description

Usage

Arguments