Package: polle
Title: Policy Learning
Version: 0.1
Authors@R: c(person(given = "Andreas",
                    family = "Nordland",
                    role = c("aut", "cre"),
                    email = "andreasnordland@gmail.com"),
             person(given = "Klaus",
                    family = "Holst",
                    role = c("aut"),
                    email = "klaus@holst.it",
                    comment = c(ORCID="0000-0002-1364-6789"))
             )
Description: Framework for evaluating and learning realistic policies based on doubly robust loss functions. Policy learning methods include Q-learning, see Tsiatis et al. (2019) <doi:10.1201/9780429192692>, (doubly robust) V-restricted Q-learning, see Luedtke & van der Laan (2016) <doi:10.1515/ijb-2015-0052>, and (doubly robust) sequential policy tree learning, see Zhou et al. <arXiv:1810.04778>.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: data.table, future.apply, lava (>= 1.7.0), methods, policytree
        (>= 1.2.0), SuperLearner, survival, targeted
Suggests: DTRlearn2, glmnet, mgcv, knitr, ranger, rmarkdown, testthat
        (>= 3.0)
Depends: R (>= 4.0)
RoxygenNote: 7.2.1
BugReports: https://github.com/AndreasNordland/polle/issues
NeedsCompilation: no
Packaged: 2022-10-31 08:25:17 UTC; andreasnordland
Author: Andreas Nordland [aut, cre],
  Klaus Holst [aut] (<https://orcid.org/0000-0002-1364-6789>)
Maintainer: Andreas Nordland <andreasnordland@gmail.com>
Repository: CRAN
Date/Publication: 2022-10-31 14:34:50 UTC
Built: R 4.1.3; ; 2022-12-06 20:10:53 UTC; windows
