DESCRIPTION

Package: causalLearning
Title: Methods for heterogeneous treatment effect estimation
Version: 1.0.0
Authors@R: c(
  person("Scott", "Powers", email = "saberpowers@gmail.com",
    role = c("aut", "cre")),
  person("Junyang", "Qian", email = "junyangq@stanford.edu", role = "aut"),
  person("Trevor", "Hastie", email = "hastie@stanford.edu", role = "aut"),
  person("Robert", "Tibshirani", email = "tibs@stanford.edu", role = "aut"))
Description: The main functions are cv.causalBoosting and bagged.causalMARS,
  which build upon the simpler causalBoosting and causalMARS functions. All of
  these functions have their own predict methods.
Depends: R (>= 3.3.0)
Imports: ranger
License: GPL-2
LazyData: true
RoxygenNote: 6.0.1