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5 projects in result set.
0. coin: Conditional Inference Procedures - Conditional inference procedures for the general independence
problem including two-sample, K-sample (non-parametric ANOVA), correlation,
censored, ordered and multivariate problems. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
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- Natural Language : French [Filter]
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- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Multivariate Statistics [Filter]
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Registered: 2012-01-26 14:41 |
1. Rgrs - R for french sociologists - Some simple functions to make R usage easier for french social sciences students and researchers (data manipulation, cross-tabulation, import/export from some specific softwares...) |
- Development Status : 4 - Beta [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
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- Topic : Social Sciences [Filter]
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Registered: 2008-04-18 08:35 |
2. PASTECS - PASTECS (Package for the Analysis of Space-Time Ecological Series) provides several methods to deal with space-time ecological series. This is the old repository. Please, go to https://github.com/phgrosjean/pastecs for the latest version! |
- Development Status : 5 - Production/Stable [Filter]
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- Natural Language : English [Filter]
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- Topic : Time Series [Filter]
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Registered: 2008-05-17 09:25 |
3. Spatial Exploratory Data Analysis - GeoXp is a package already available on CRAN.
We are trying to modify the structure of this package by using the S4 classes used in sp package.
We are also interested by modifying the interface of GeoXp, using some Rtkplot or similar tools... |
- Development Status : 5 - Production/Stable [Filter]
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- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
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- Topic : Spatial Data & Statistics [Filter]
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Registered: 2010-03-03 14:57 |
4. Yasomi: Self-Organising Map in R - Yasomi is Yet Another Self-Organising Map Implementation. It provides an implementation of Kohonen's SOM, with extension to kernel variants and comprehensive visualisation capabilities. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
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- Topic : Cluster Analysis [Filter]
- Topic : Machine Learning : Neural Networks [Filter]
- Topic : Multivariate Statistics : Unsupervised Classification [Filter]
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Registered: 2011-02-25 12:40 |