# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "nerfplus" in publications use:' type: software license: MIT title: 'nerfplus: Network-Assisted Random Forest+ (NeRF+)' version: 1.0.0 doi: 10.32614/CRAN.package.nerfplus abstract: 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) . authors: - family-names: Tang given-names: Tiffany email: ttang4@nd.edu orcid: https://orcid.org/0000-0002-8079-6867 repository: https://tiffanymtang.r-universe.dev commit: abb2cd5d46b0b356ba78cb3cc94ba529222c3239 url: https://tiffanymtang.github.io/nerfplus/ date-released: '2026-10-20' contact: - family-names: Tang given-names: Tiffany email: ttang4@nd.edu orcid: https://orcid.org/0000-0002-8079-6867