Package: bagged.outliertrees
Maintainer: Rafael Santos <rafael.jpsantos@outlook.com>
Title: Robust Explainable Outlier Detection Based on OutlierTree
Version: 1.0.0
Authors@R: 
    person(given = "Rafael",
           family = "Santos",
           role = c("aut", "cre"),
           email = "rafael.jpsantos@outlook.com")
Description: Bagged OutlierTrees is an explainable unsupervised outlier
        detection method based on an ensemble implementation of the
        existing OutlierTree procedure (Cortes, 2020). This
        implementation takes advantage of bootstrap aggregating
        (bagging) to improve robustness by reducing the possible
        masking effect and subsequent high variance (similarly to
        Isolation Forest), hence the name "Bagged OutlierTrees". To
        learn more about the base procedure OutlierTree (Cortes, 2020),
        please refer to <arXiv:2001.00636>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Imports: outliertree, dplyr, doSNOW, parallel, foreach, rlist,
        data.table
Depends: R (>= 3.5.0)
URL: https://github.com/RafaJPSantos/bagged.outliertrees
BugReports: https://github.com/RafaJPSantos/bagged.outliertrees/issues
Config/pak/sysreqs: libxml2-dev
Repository: https://rafajpsantos.r-universe.dev
Date/Publication: 2021-07-10 14:07:01 UTC
RemoteUrl: https://github.com/rafajpsantos/bagged.outliertrees
RemoteRef: HEAD
RemoteSha: fe0eedf10c646907aa915769ebd0aa3eebfc81fe
NeedsCompilation: no
Packaged: 2026-10-11 13:01:39 UTC; root
Author: Rafael Santos [aut, cre]