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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. brew - brew implements a templating framework for mixing text and R code for report generation. brew template syntax is similar to PHP, Ruby's erb module, Java Server Pages, and Python's psp module. |
- Development Status : 3 - Alpha [Filter]
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Registered: 2007-04-20 14:46 |
2. Sublogo dendrograms - Sublogo dendrograms are statistical graphics that reveal correlation in biological sequence alignments. |
- Development Status : 5 - Production/Stable [Filter]
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- Programming Language : PHP [Filter]
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- Topic : Bioinformatics : Visualization [Filter]
- Topic : Genetics [Filter]
- Topic : Graphics : Plotting [Filter]
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Registered: 2009-06-19 09:14 |
3. unit and system testing for R - rtest was a fork from RUnit. the author started it because he needed Hudson/Jenkins output from R and he did not manage to contact the developers of RUnit.
Status: unmantained.
Alternative: svUnit (SciVews). |
- Development Status : 5 - Production/Stable [Filter]
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Registered: 2010-09-21 08:01 |
4. renjin - Renjin is ongoing project to implement a new interpreter for the R language that runs within the Java Virtual Machine, and specifically on the Google AppEngine platform |
- Development Status : 3 - Alpha [Filter]
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Registered: 2010-12-14 19:46 |
5. Entropy-based LISA - Provides the functions to quantify local spatial association using a novel entropy-based method, named Entropy-based Local Indicator of Spatial Association (ELSA). |
- Development Status : 3 - Alpha [Filter]
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- Topic : Spatial Data & Statistics : Geostatistics [Filter]
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Registered: 2013-09-23 01:30 |
6. 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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- Topic : Machine Learning [Filter]
- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2014-05-26 16:09 |