DESCRIPTION

Type: Package
Package: CRE
Title: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
Version: 0.2.4
Authors@R: c(
    person("Naeem", "Khoshnevis", , "nkhoshnevis@g.harvard.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-4315-1426", AFFILIATION = "FASRC")),
    person("Daniela Maria", "Garcia", , "danielagarcia@college.harvard.edu", role = "aut",
           comment = c(ORCID = "0000-0003-3226-3561")),
    person("Riccardo", "Cadei", , "rcadei@hsph.harvard.edu", role = "aut",
           comment = c(ORCID = "0000-0003-2416-8943")),
    person("Kwonsang", "Lee", , "kwonsanglee.stat@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0002-5823-4331")),
    person("Falco Joannes", "Bargagli Stoffi", , "fbargaglistoffi@hsph.harvard.edu", role = "aut",
           comment = c(ORCID = "0000-0002-6131-8165"))
  )
Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>
Description: Provides a new method for interpretable heterogeneous 
    treatment effects characterization in terms of decision rules 
    via an extensive exploration of heterogeneity patterns by an 
    ensemble-of-trees approach, enforcing high stability in the 
    discovery. It relies on a two-stage pseudo-outcome regression, and 
    it is supported by theoretical convergence guarantees. Bargagli-Stoffi, 
    F. J., Cadei, R., Lee, K., & Dominici, F. (2023) Causal rule ensemble: 
    Interpretable Discovery and Inference of Heterogeneous Treatment Effects.  
    arXiv preprint <arXiv:2009.09036>.
License: GPL-3
URL: https://github.com/NSAPH-Software/CRE
BugReports: https://github.com/NSAPH-Software/CRE/issues
Depends: 
    R (>= 3.5.0)
Imports: 
    MASS,
    stats,
    logger,
    gbm, 
    randomForest,
    methods,
    xgboost,
    RRF,
    data.table,
    xtable,
    glmnet,
    bartCause,
    stabs,
    stringr,
    SuperLearner,
    magrittr,
    ggplot2,
    inTrees
Suggests:
    grf,
    BART,
    gnm,
    covr,
    knitr,
    rmarkdown,
    testthat (>= 3.0.0)
VignetteBuilder: 
    knitr
Copyright: Harvard University
Encoding: UTF-8
Language: en-US
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3