Package: amelie
Type: Package
Title: Anomaly Detection with Normal Probability Functions
Version: 0.2.1
Authors@R: c(person("Dmitriy", "Bolotov", email = "dbolotov@live.com", role = c("aut", "cre")))
Description: Implements anomaly detection as binary classification for
        cross-sectional data. Uses maximum likelihood estimates and
        normal probability functions to classify observations as
        anomalous. The method is presented in the following lecture
        from the Machine Learning course by Andrew Ng:
        <https://www.coursera.org/learn/machine-learning/lecture/C8IJp/algorithm/>,
        and is also described in: Aleksandar Lazarevic, Levent Ertoz,
        Vipin Kumar, Aysel Ozgur, Jaideep Srivastava (2003)
        <doi:10.1137/1.9781611972733.3>.
Imports: stats
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
Repository: https://dbolotov.r-universe.dev
Date/Publication: 2019-03-18 06:39:35 UTC
RemoteUrl: https://github.com/dbolotov/amelie
RemoteRef: HEAD
RemoteSha: 82d3d7bdc6ad10f9686e0eaad2ea87e7bc26893b
NeedsCompilation: no
Packaged: 2026-10-14 08:01:11 UTC; root
Author: Dmitriy Bolotov [aut, cre]
Maintainer: Dmitriy Bolotov <dbolotov@live.com>