nerfplus - Network-Assisted Random Forest+ (NeRF+)
Network-assisted Random Forest+ (NeRF+) is a flexible and
interpretable machine learning model for incorporating network
data alongside node-level covariate information. Briefly, NeRF+
extends a generalization of random forests (RF) called RF+ to
the network-assisted regression setting by incorporating both a
network cohesion penalty and network embeddings as additional
covariates. Using this approach, NeRF+ inherits both the
flexibility and interpretability of RFs while allowing
researchers to easily incorporate network information in their
model to further improve predictive performance. This package
provides tools to fit and interpret NeRF+ models, as detailed
in Tang, Levina, and Zhu (2025)
<doi:10.48550/arXiv.2509.15611>.
