amelie

0.2.1

Anomaly Detection with Normal Probability Functions

0packages depend

3.5Kdownloads / year

96.9%test coverage

13/13checks pass

Overview

About

Maintained by Dmitriy BolotovFirst published 2018-02-223 releasesCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("amelie", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-amelie

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-amelie

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-amelie

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 58 s · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.82

96.9%

Coverage · measured lines

100%

Documentation · exports

Dependencies · direct

Check history

OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 25%

Downloads

3.5K

CRAN downloads in the past year

Rank #13,285 · ~10/day · ~289/mo

Releases R versions

Daily download trend is not available in this view yet.

28430 days

78690 days

3.5K1 year

Compare downloads with other packages →

Also on161 r2u33 autocran

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (1)

stats

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Dmitriy Bolotov

Author, Maintainer

Authors (1)

Dmitriy Bolotov

Author, Maintainer

Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
0.2.1Latest
2019-03-18 · current release · diff ↗
R
R 3.5.0 released · 2018-04-23
0.2.0
2018-04-08 · diff ↗
0.1.0
2018-02-22
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-02-22
Total releases: 3 / 8 yrs
License: GPL (>= 3) OSI
Download size: 18 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Anomaly Detection

Report a problem with this page →