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6 projects in result set.
0. Bayesian Estimation and Model Checking - This package mainly deals with generalized linear spatial models in Bayesian way for estimation, prediction and model checking. |
- Development Status : 4 - Beta [Filter]
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- Programming Language : R [Filter]
- Topic : Bayesian Statistics [Filter]
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- Topic : Spatial Data & Statistics : Geostatistics [Filter]
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Registered: 2011-08-18 03:20 |
1. 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. |
- Development Status : 3 - Alpha [Filter]
- Environment : Win32 (MS Windows) [Filter]
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- Topic : Education [Filter]
- Topic : Graphics : Dynamic Graphics [Filter]
- Topic : Numerical Analysis [Filter]
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Registered: 2010-05-05 23:51 |
2. Nvidia thrust column-major matrices func - This package provides basic R functions made with a help of nvidia thrust for GPU computation in linux environment. The implementation is based on the NVIDIA CUDA Toolkit 4.0. |
- Development Status : 2 - Pre-Alpha [Filter]
- Environment : Console (Text Based) [Filter]
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- Programming Language : R [Filter]
- Topic : High Performance Computing : Parallel Computing [Filter]
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Registered: 2011-06-10 12:13 |
3. Protocol for Adjust & Select Models - This project is about modeling species abundances in communities. |
- Development Status : 1 - Planning [Filter]
- Development Status : 2 - Pre-Alpha [Filter]
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Registered: 2011-01-18 16:54 |
4. Estimation and Model Checking for GLSM - This package mainly deals with generalized linear spatial models for estimation, model checking and prediction by using MCMC algorithms. |
- Development Status : 5 - Production/Stable [Filter]
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
- Topic : Spatial Data & Statistics : Geostatistics [Filter]
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Registered: 2011-08-17 10:52 |
5. 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. |
- Development Status : 3 - Alpha [Filter]
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- Topic : Machine Learning : Recursive Partitioning [Filter]
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Registered: 2009-07-14 06:02 |