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Topic :: Optimization [Remove This Filter]
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Development Status :: 4 - Beta [Remove This Filter]
7 projects in result set.
0. MPTinR - MPTinR provides a user-friendly way to fit Multinomial Processing Tree (MPT) and other cognitive models for categorical data. For any MPT model the FIA, a minimum description length based measure of model complexity, can be calculated for model selection.
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- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
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Registered: 2011-06-06 17:09 |
1. CatDyn Package for Catch Dynamics Models - Statistical models to assess fish stocks are becoming too demanding in terms of biological information. As an alternative to this trend we are developing the CatDyn project, an R package to assess fish stocks by modeling the operation of fishermen at sea.
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- Topic : Regression Models [Filter]
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Registered: 2011-05-17 15:37 |
2. Clustering using convex fusion penalties - An R/C++ implementation of the clusterpath algorithm described in Hocking et al. 2011, for robust convex clustering using sparsity-inducing fusion penalties.
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- Programming Language : Python [Filter]
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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Optimization (Now Filtering)
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Registered: 2011-05-09 12:56 |
3. rneos: R interface to NEOS - R package that implements the XML-RPC interface to NEOS (http://www.neos-server.org)
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Registered: 2010-07-16 15:32 |
4. Optimist - This project will comprise different approaches in global and discrete optimization, e.g. a simple evolutionary algorithm for global problems, some 'knapsack' procedures and discrete optimization routines, and a collection of optimization test routines.
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- Programming Language : Fortran [Filter]
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- Topic : Numerical Analysis [Filter]
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Registered: 2011-03-14 17:35 |
5. Markov decision processes (MDPs) in R - Create and optimize MDPs with discrete time steps and state space. Both normal MDPs and hierarchical MDPs can be considered.
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Registered: 2009-06-08 12:06 |
6. UCMINF - unconstrained optimization - UCMINF - An algoriithm for unconstrained non-linear optimization
The algorithm is of quasi-Newton type with BFGS updating of the inverse Hessian and soft line search with a trust region type monitoring of the input to the line search algorithm.
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Registered: 2008-12-08 18:53 |
