Package: nerfplus
Title: Network-Assisted Random Forest+ (NeRF+)
Version: 1.0.0
Authors@R: 
    person("Tiffany", "Tang", , "ttang4@nd.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8079-6867"))
Description: 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>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: DT, fresh, ggplot2, ggraph, htmltools, igraph, kableExtra,
        knitr, patchwork, plotly, shiny, shinycssloaders,
        shinydashboard, shinydashboardPlus, shinyjs, shinyWidgets,
        testthat (>= 3.0.0), tippy
Config/testthat/edition: 3
Imports: abind, caret, dplyr, furrr, glmnet, irlba, Matrix, purrr,
        ranger, Rcpp, rlang, stringr, tibble, tidyr, tidyselect,
        yardstick
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
URL: https://tiffanymtang.github.io/nerfplus/
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-11-03 23:50:37 UTC; root
Author: Tiffany Tang [aut, cre] (ORCID:
        <https://orcid.org/0000-0002-8079-6867>)
Maintainer: Tiffany Tang <ttang4@nd.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-11-03 21:15:06 UTC
RemoteUrl: https://github.com/cran/nerfplus
RemoteRef: HEAD
RemoteSha: 2648ed6bf306afcd5ad3094147a1b23ce1bb69b3