Package: oddnet 0.1.1.2

Sevvandi Kandanaarachchi

oddnet: Anomaly Detection in Temporal Networks

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) <arxiv:2210.07407>.

Authors:Sevvandi Kandanaarachchi [aut, cre], Rob Hyndman [aut]

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Peer review:

Bug tracker:https://github.com/sevvandi/oddnet/issues

On CRAN:

3 exports 2 stars 1.02 score 58 dependencies 10 scripts 186 downloads

Last updated 4 months agofrom:c66aafdebb. Checks:OK: 7. Indexed: yes.

Exports:anomalous_networkscompute_featureslad

Dependencies:anytimeBHclicolorspacecpp11digestdistributionaldplyrellipsisevdfablefabletoolsfansifarvergenericsggdistggplot2gluegtableigraphisobandlabelinglatticelifecyclelookoutlubridatemagrittrMASSMatrixmgcvmunsellmvtnormnlmenumDerivpcaPPpillarpkgconfigprogressrpurrrquadprogR6RANNRColorBrewerRcpprlangscalesstringistringrTDAstatstibbletidyrtidyselecttimechangetsibbleutf8vctrsviridisLitewithr