readme.md

In mi-erasmusmc/CovCoagEmaPrediction: Coagulopathy prediction in SARS-Cov-2

A Package Skeleton for Patient-Level Prediction Studies

A skeleton package, to be used as a starting point when implementing patient-level prediction studies.

Vignette: Using the package skeleton for patient-level prediction studies

Suggested Requirements

• R studio (https://rstudio.com)
• Java runtime environment
• Python

Instructions

• Instructions to build the study library if generated using ATLAS
• Instructions to share an ATLAS generated study library on github
• Instructions to execute the study

Extras

For information on how to generate shiny apps using the R skeleton package see: Creating shiny app for patient-level prediction studies. To combine multiple skeleton package results into a single shiny app see populate multiple shiny app R code code

For information on adding custom covariates based on ATLAS cohorts see: Adding custom covariates using ATLAS cohorts.

mi-erasmusmc/CovCoagEmaPrediction documentation built on Dec. 21, 2021, 5:54 p.m.