DESCRIPTION

Package: Crossfit
Title: Estimate Average Treatment Effect by Applying Double Cross-fit TMLE estimator
Version: 0.1.0
Authors@R:
    c(person(given = "Momenul Haque",
           family = "Mondol",
           role = c("aut", "cre"),
           email = "mhmondol@student.ubc.ca",
           comment = c(ORCID = "0000-0002-2624-2118")),
    person(given = "Mohammad Ehsanul",
           family = "Karim",
           role = "ctb",
           comment = c(ORCID = "0000-0002-0346-2871")))
Description: Sample splitting (cross-fit) is applied to TMLE to draw
  causal inference. Crossfit can be applied on AIPW and TMLE both for binary
  and continuous outcome. 
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Imports: 
    dplyr,
    tidyr,
    furrr,
    purrr,
    tibble,
    tmle, 
    SuperLearner
Depends: 
    R (>= 2.10)
LazyData: true