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7 projects in result set.
0. SciViews - SciViews: a R GUI API, and a R GUI extension for Komodo Edit. |
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- Topic : Education : GUI [Filter]
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Registered: 2008-05-26 16:41 |
1. renjin - Renjin is ongoing project to implement a new interpreter for the R language that runs within the Java Virtual Machine, and specifically on the Google AppEngine platform |
- Development Status : 3 - Alpha (Now Filtering)
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Registered: 2010-12-14 19:46 |
2. 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. |
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- Programming Language : R [Filter]
- Topic : Education [Filter]
- Topic : Graphics : Dynamic Graphics [Filter]
- Topic : Numerical Analysis [Filter]
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Registered: 2010-05-05 23:51 |
3. rmodest - Rmodest is a package that will allow you to easily fit mortality functions to your survival data, and to test hypotheses about your data. |
- Development Status : 3 - Alpha (Now Filtering)
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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2008-04-24 04:24 |
4. 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. |
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- Operating System : MacOS [Filter]
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- Programming Language : R [Filter]
- Topic : Machine Learning : Recursive Partitioning [Filter]
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Registered: 2009-07-14 06:02 |
5. 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. |
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- Topic : Spatial Data & Statistics [Filter]
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Registered: 2007-11-20 20:30 |
6. 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. |
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- Programming Language : R [Filter]
- Topic : Cluster Analysis : Partitioning Clustering [Filter]
- Topic : Spatial Data & Statistics : Disease Mapping and Areal Data Analysis [Filter]
- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2016-03-16 13:24 |