Abstract

MrIML is a flexible machine learning framework for modeling multi-response genomic landscape data. The package enables multi-response modeling using interpretable ML algorithms, allowing researchers to simultaneously model multiple genomic outcomes and extract biological insights through variable importance and partial dependence plots. This tool advances landscape genomics by making complex, multi-response ML workflows accessible and interpretable.