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Topic > Optimization |
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7 projects in result set.
0. Optimal Two-stage Phase II Design - This R package creates the optimal two-stage phase II designs with long-term endpoint.
A later expanded version of the package (OptInterim) can be downloaded on CRAN
http://cran.r-project.org/web/packages/OptInterim/index.html |
- Development Status : 5 - Production/Stable [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2008-12-14 01:13 |
1. 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. |
- Development Status : 4 - Beta [Filter]
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Registered: 2009-06-08 12:06 |
2. dcr - Data Cloning in R - Data cloning (DC) uses Bayesian MCMC to make maximum likelihood inference of complex hierarchical models. The bundle includes basic infrastructure for DC with parallel computing support, and more specialized packages for ecology. |
- Development Status : 5 - Production/Stable [Filter]
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- Topic : Bayesian Statistics [Filter]
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2009-08-17 16:25 |
3. 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 |
4. changepoints: Changepoint Analysis Tools - Unified infrastracture for changepoint analysis for different types of parametric models employing different segmentation strategies (binary, recursive binary, dynamic programming, PELT, etc.) |
- Development Status : 1 - Planning [Filter]
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- Topic : Econometrics : Structural Change [Filter]
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Registered: 2012-03-27 21:23 |
5. X-METRIC Inventory Optimizations - Multi-Echelon Techniques for Recoverable Item Control and its variants MOD-METRIC, VARI-METRIC and related extensions |
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Registered: 2013-08-24 22:00 |
6. Forecasting with Artificial Intelligence - The package ForAI uses machine learning methods such as artificial neural networks, support vector regression, extreme learning machines, and evolutionary algorithms for forecasting and prediction. |
- Development Status : 3 - Alpha [Filter]
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Registered: 2012-01-22 07:45 |