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5 projects in result set.
0. simecol - Ecological Models with R - simecol allows to implement ecological models (ODEs, IBMs, ...) using a template-like object-oriented stucture. It helps to organize scenarios and may also be useful for other areas. |
- Development Status : 4 - Beta [Filter]
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Registered: 2008-02-20 20:34 |
1. Functional diversity - The "Functional diversity" project is based on the FD package, which can compute different multidimensional FD indices. It also contains other useful tools for functional ecology, e.g. trait-based community assembly via maximum entropy models. |
- Development Status : 5 - Production/Stable [Filter]
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- Topic : Multivariate Statistics : Matrix Manipulations [Filter]
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Registered: 2009-06-30 15:23 |
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]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
- Natural Language : English [Filter]
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- Programming Language : R [Filter]
- Topic : Bayesian Statistics [Filter]
- Topic : Optimization [Filter]
- Topic : Spatial Data & Statistics : Ecological Analysis (Now Filtering)
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Registered: 2009-08-17 16:25 |
3. geospt - The 'geospt' package contains several geostatistical and radial basis functions, including prediction and cross validation. Besides, it includes functions for the design of optimal spatial sampling networks based on geostatistical modelling. |
- Development Status : 5 - Production/Stable [Filter]
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Programming Language : R [Filter]
- Topic : Machine Learning : Genetic Algorithms [Filter]
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- Topic : Spatial Data & Statistics : Geostatistics [Filter]
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Registered: 2012-06-04 18:39 |
4. Species Distribution Modelling - sdm is an extendable framework to develop species distributions models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. |
- Development Status : 4 - Beta [Filter]
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Programming Language : R [Filter]
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Registered: 2014-05-26 16:09 |