DESCRIPTION

Package: causalTransportR
Type: Package
Title: Machine learning methods for estimating and bridging causal effects
Version: 0.1
Date: 2022-10-16
Authors@R:
  c(person(given = "Apoorva",
           family = "Lal",
           role = c("aut", "cre"),
           email = "lal.apoorva@gmail.com")
    )
Description: causalTransportR implements a number of estimators to estimate, generalize, and transport causal effects using reweighting doubly-robust score functions with transformations of selection scores to generalize and/or transport causal effects. All nuisance functions are cross-fit using fast supervised learning algorithms (grf and glmnet).
Depends:
  R (>= 4.0),
  data.table,
  fixest,
  glmnet,
  ggplot2,
  grf,
  glue,
  magrittr,
  Matrix,
  matrixStats
NeedsCompilation: no
License: MIT
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
Suggests:
    testthat (>= 3.0.0)
Config/testthat/edition: 3