Various useful functions for predictive modelling in R.
This respository is centred around performNestedCVParallel(), which fits and evaluates a chosen machine learning model to the input data via a nested k-fold cross-validation process. The additional functions are designed to manipulate the output of this function. For more information on the nested CV process, see Wilkes et al. (2018) Clin Chem.
ClinChem_2020-317479_Supplemental_Analysis_Guide.R provides a walkthrough of the functions on example data - see Wilkes et al. (2020) Clin Chem for more details.
If you find the functions within this repo useful for your own work, please consider citing the associated publications:
@article{wilkes2018clinchem,
title={Using Machine Learning to Aid the Interpretation of Urine Steroid Profiles},
author={Wilkes, Edmund H and Rumsby, Gill and Woodward, Gary M},
journal={Clinical Chemistry},
publisher={Oxford Academic},
year={2018}
}
@article{wilkes2020clinchem,
title={A Machine Learning Approach for the Automated Interpretation of Plasma Amino Acid Profiles},
author={Wilkes, Edmund H and Mozley, Erin and Beltran, Luisa and Woodward, Gary M and Carling, Rachel S},
journal={Clinical Chemistry},
publisher={Oxford Academic},
year={2020}
}