This package contains a Rshiny webtool developed to allow the calculation of the metabolic predictors developed by the groups of MOLEPI and LCBC (LUMC), from raw Nightingale Health 1H-NMR metabolomics data.

I collected datasets related to COVID-19 disease in various dimensions and presented them here. You can read its details in the "Adaptive Elastic-net Sliced Inverse Regression to Identify Risk Factors Affecting COVID-19" paper. Also, here is the code for the proposed method.

Credit Risk Prediction in R