Package: cbl
Title: Causal Discovery under a Confounder Blanket
Version: 0.1.2
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, doRNG
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Repository: https://dswatson.r-universe.dev
Date/Publication: 2022-12-20 16:47:34 UTC
RemoteUrl: https://github.com/dswatson/cbl
RemoteRef: HEAD
RemoteSha: 52eca9d3a1743ce891ede44b36d38d074ca7e564
NeedsCompilation: no
Packaged: 2026-10-08 09:35:43 UTC; root
Author: David Watson [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9632-2159>)
Maintainer: David Watson <david.s.watson11@gmail.com>
Depends: R (>= 3.5.0)