CRAN/E | oddnet

oddnet

Anomaly Detection in Temporal Networks

Installation

About

Anomaly detection in dynamic, temporal networks. The package 'oddnet' uses a feature-based method to identify anomalies. First, it computes many features for each network. Then it models the features using time series methods. Using time series residuals it detects anomalies. This way, the temporal dependencies are accounted for when identifying anomalies (Kandanaarachchi, Hyndman 2022) .

sevvandi.github.io/oddnet/

Key Metrics

Version 0.1.1
Published 2024-02-11 244 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks oddnet results

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Maintainer

Maintainer

Sevvandi Kandanaarachchi

Authors

Sevvandi Kandanaarachchi

aut / cre

Rob Hyndman

aut

Material

README
Reference manual
Package source

Vignettes

oddnet

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

oddnet archive

Imports

dplyr
fable
fabletools
igraph
lookout
pcaPP
rlang
tibble
tidyr
tsibble
utils

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