Package: cbl
Title: Causal Discovery under a Confounder Blanket
Version: 0.1.3
Authors@R: 
    person("David", "Watson", , "david.s.watson11@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-9632-2159"))
Description: Methods for learning causal relationships among a set of
    foreground variables X based on signals from a (potentially much
    larger) set of background variables Z, which are known non-descendants
    of X. The confounder blanket learner (CBL) uses sparse regression
    techniques to simultaneously perform many conditional independence
    tests, with complementary pairs stability selection to guarantee
    finite sample error control. CBL is sound and complete with respect to
    a so-called "lazy oracle", and works with both linear and nonlinear
    systems. For details, see Watson & Silva (2022) <arXiv:2205.05715>.
License: GPL (>= 3)
URL: https://github.com/dswatson/cbl
Imports: data.table, foreach, glmnet, lightgbm
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2022-12-20 16:55:07 UTC; dswatson
Author: David Watson [aut, cre] (<https://orcid.org/0000-0001-9632-2159>)
Maintainer: David Watson <david.s.watson11@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-12-20 17:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 06:21:29 UTC; unix
