DESCRIPTION

Package: uniCATE
Title: Univariate Conditional Average Treatment Effect Estimation
Version: 0.4.0
Authors@R: c(
    person(given = "Philippe",
           family = "Boileau",
           role = c("aut", "cre"),
           email = "philippe_boileau@berkeley.edu",
           comment = c(ORCID = "0000-0002-4850-2507")),
    person(given = "Mark",
           family = "van der Laan",
           email = "laan@berkeley.edu",
           role = c("ctb", "ths"),
           comment = c(ORCID = "0000-0003-1432-5511")),
    person(given = "Sandrine",
           family = "Dudoit",
           email = "sandrine@stat.berkeley.edu",
           role = c("ctb", "ths"),
           comment = c(ORCID = "0000-0002-6069-8629")),
    person(given = "Ning",
           family = "Leng",
           email = "nleng@gene.com",
           role = "ctb")
  )
Description: uniCATE implements statistical inference procedures for variable
  importance measures that assess the treatment effect modification
  capabilities, and therefore predictiveness, of individual pre-treatment
  biomarkers in high-dimensional randomized control trials.
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests: 
    nnls,
    Rsolnp,
    speedglm,
    polspline,
    xgboost,
    ranger,
    testthat (>= 3.0.0),
    knitr,
    qpdf,
    rmarkdown
Imports: 
    dplyr,
    assertthat,
    magrittr,
    matrixStats,
    origami,
    purrr,
    rlang,
    sl3,
    glmnet,
    tibble,
    future
Config/testthat/edition: 3
VignetteBuilder: knitr
Language: en-US
Remotes: tlverse/sl3@v1.4.4