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
LazyData: true
Suggests: testthat, knitr, rmarkdown
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-03-18 06:37:38 UTC; db
Author: Dmitriy Bolotov [aut, cre]
Maintainer: Dmitriy Bolotov <dbolotov@live.com>
Repository: CRAN
Date/Publication: 2019-03-18 06:53:42 UTC
Built: R 4.6.0; ; 2026-04-26 10:39:45 UTC; unix
