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amelie  

Anomaly Detection with Normal Probability Functions
View on CRAN: Click here


Download and install amelie package within the R console
Install from CRAN:
install.packages("amelie")

Install from Github:
library("remotes")
install_github("cran/amelie")

Install by package version:
library("remotes")
install_version("amelie", "0.2.1")



Attach the package and use:
library("amelie")
Maintained by
Dmitriy Bolotov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-22
Latest Update: 2019-03-18
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: , and is also described in: Aleksandar Lazarevic, Levent Ertoz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava (2003) .
How to cite:
Dmitriy Bolotov (2018). amelie: Anomaly Detection with Normal Probability Functions. R package version 0.2.1, https://cran.r-project.org/web/packages/amelie. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:17), 0.1.0 (2018-02-22 10:30), 0.2.0 (2018-04-08 06:54)
Other packages that cited amelie R package
View amelie citation profile
Other R packages that amelie depends, imports, suggests or enhances
Complete documentation for amelie
Functions, R codes and Examples using the amelie R package
Some associated functions: ad . amelie . pdfunc . predict.ad . 
Some associated R codes: ad.R . amelie.R . pdfunc.R . predict.ad.R . utils.R .  Full amelie package functions and examples
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