loadPlpFromCsv

<p>The directory with the results as csv files</p>

dirPath

<p>Loads parts of the plp result saved as csv files for transparent sharing</p>

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

PatientLevelPrediction

Package for patient level prediction using data in the OMOP Common Data
Model

Martijn Schuemie

Marc Suchard

Patrick Ryan

Peter Rijnbeek

loadPlpFromCsv function

Loads parts of the plp result saved as csv files for transparent sharing — loadPlpFromCsv

Loads parts of the plp result saved as csv files for transparent sharing

loadPlpFromCsv: Loads parts of the plp result saved as csv files for transparent sharing

Description

Usage

Arguments

Details