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Topic :: Machine Learning :: Regularized and Shrinkage Methods [Remove This Filter]
Programming Language :: R [Remove This Filter]
4 projects in result set.
0. Clustering using convex fusion penalties - An R/C++ implementation of the clusterpath algorithm described in Hocking et al. 2011, for robust convex clustering using sparsity-inducing fusion penalties. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : Python [Filter]
- Programming Language : R (Now Filtering)
- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods (Now Filtering)
- Topic : Optimization [Filter]
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Registered: 2011-05-09 12:56 |
1. MeDiChI - R package implementing model based deconvolution of ChIP-chip (transcription factor binding) data, as published in Bioinformatics journal.
Please visit http://baliga.systemsbiology.net/medichi for source code, instructions, and R package downloads. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R (Now Filtering)
- Topic : Bioinformatics : Statistics [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods (Now Filtering)
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Registered: 2010-05-14 17:13 |
2. gamboostLSS - gamboostLSS: Boosting Methods for GAMLSS Models
For an up to date version see https://github.com/boost-R/gamboostLSS |
- Development Status : 4 - Beta [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R (Now Filtering)
- Topic : Machine Learning : Boosting [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods (Now Filtering)
- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
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Registered: 2010-06-29 15:27 |
3. Sparsity by Quadratic Penalties - This package fits classical sparse regression models with efficient active set algorithms by solving quadratic problems. Also provides a few methods for model selection purpose (cross-validation, stability selection). |
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R (Now Filtering)
- Topic : Machine Learning : Regularized and Shrinkage Methods (Now Filtering)
- Topic : Multivariate Statistics : Linear Models [Filter]
- Topic : Regression Models [Filter]
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Registered: 2013-03-21 09:55 |