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8 projects in result set.
0. Classification methods and visualization - Miscellaneous functions for classification and visualization.
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- Topic : Multivariate Statistics : Supervised Classification and Discriminant Analysis [Filter]
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Registered: 2007-06-11 10:04 |
1. dismo --- Species Distribtion modeling - Functions for species distribution modeling.
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- Programming Language : Java [Filter]
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Registered: 2009-12-07 07:49 |
2. partDSA - partDSA is a novel tool for generating a piecewise constant estimation list of increasingly complex predictors based on an intensive and comprehensive search over the entire covariate space.
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Registered: 2011-01-17 19:50 |
3. Probabilistic Suffix Trees - The PST library allows to fit and visualize Probabilistic Suffix Trees (PST), the construction that stores Variable Length Markov Chains (VLMC). Fitted PSTs can be used to predict, generate or impute categorical sequences.
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Programming Language : R [Filter]
- Topic : Graphics [Filter]
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- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
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Registered: 2012-01-04 10:50 |
4. chemosensors - This package introduces a software tool that allows for the design of synthetic experiments in machine olfaction.
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- Programming Language : R [Filter]
- Topic : Chemoinformatics [Filter]
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Registered: 2012-01-19 14:28 |
5. Mixed-pair mutual information estimators - Fast calculation mutual information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Also provides jackknife bias correction and tests for association.
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- Programming Language : Fortran [Filter]
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- Topic : Bioinformatics [Filter]
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Registered: 2012-08-10 08:48 |
6. Conditional Random Fields - This project provides a set of tools for conditional random fields tasks such as decoding/inference/sampling/training.
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Registered: 2010-12-28 07:13 |
7. 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.
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- Development Status : 4 - Beta (Now Filtering)
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2014-05-26 16:09 |
