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6 projects in result set.
0. 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.
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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 |
1. The adegenet package - The package adegenet is devoted to the multivariate analysis of genetic markers data.
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- Topic : Genetics : Population Genetics [Filter]
- Topic : Multivariate Statistics [Filter]
- Topic : Spatial Data & Statistics [Filter]
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Registered: 2008-01-06 17:38 |
2. CorReg - find a structure explaining correlations between covariates and use it to compute linear regression. It provides an efficient new estimator for recursive SEM.
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- Topic : Econometrics : Linear Regression Models [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics [Filter]
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Registered: 2013-11-14 14:32 |
3. Clustericat - This package performs clustering for categorical data-set by the conditional correlated mixture model. It contains a function clusteringcat() performing the clustering on categorical data-set and returns object of appropriate class.
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- Topic : Cluster Analysis : Model-based Clustering [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
- Topic : Multivariate Statistics : Unsupervised Classification : Cluster Analysis [Filter]
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Registered: 2013-12-05 14:22 |
4. The forensim package - The forensim package for the R environment provides statistical tools dedicated to the interpretation of forensic DNA mixtures
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- Topic : Bioinformatics : Statistics [Filter]
- Topic : Genetics : Population Genetics [Filter]
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Registered: 2009-04-17 15:10 |
5. general multiple-table data management - Our objective is to develop classes of objects that (1) make handling multiple-table data sets easier and (2) seamlessly integrate with existing R plotting and model-fitting functions; our philosophy is to keep data management and data analysis separate.
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- Topic : Environmetrics [Filter]
- Topic : Multivariate Statistics : Matrix Manipulations [Filter]
- Topic : Multivariate Statistics : Visualising Multivariate Data : Data Preprocessing [Filter]
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Registered: 2011-07-27 02:07 |
