3. Isolation Forest- This package implements an anomaly detection method that detects data-anomalies using binary trees. Using the property that anomalies are more susceptible to isolation, anomalies can be detected as data points which have short expected path lengths.
4. radR - processing of radar data in R- radR retrieves data from your live radar or recorded archive and analyses it for features, which are saved in replayable files that are much smaller than raw data sets. You can extend radR via plugins.
5. Micro-magnet Dynamics Simulation Package- Magnets is a numerical simulation package aiming at helping physicists
and electrical engineers who are interested in studying the micro-magnet spin system, which is one of the future integrated circuits with the privilege of low energy consumption.
7. TreeHotspots- Classification trees can identify multiple clusters at many different scales at various angles.
We find "hotspots", i.e. regions of high and low densities or rates w.r.t. some baseline.