Software Map

Project Tree

Project Tree

Topic > Machine Learning > Regularized and Shrinkage Methods

Browse By:

11 projects in result set.

0. 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 [Filter]
Topic : Bioinformatics : Statistics [Filter]
Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]

Registered: 2010-05-14 17:13

1. Sparse Multivariate Diffusions - Inference for discretely observed high dimensional diffusions given by SDEs with a sparse drift based on penalized loss function estimation and subsampling methods.

Development Status : 3 - Alpha [Filter]
Intended Audience : Developers [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Programming Language : R [Filter]
Topic : Machine Learning : Model Selection and Validation [Filter]
Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
Topic : Numerical Analysis : Prob\. Methods, Simulation and Stochastic Differential Equations [Filter]

Activity Percentile: 0.00

Registered: 2010-07-05 09:50

2. 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 [Filter] Topic : Machine Learning : Regularized and Shrinkage Methods [Filter] Topic : Multivariate Statistics : Linear Models [Filter] Topic : Regression Models [Filter]	Activity Percentile: 0.00 Registered: 2013-03-21 09:55

3. mboost - Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. For an up to date version see https://github.com/boost-R/mboost

Development Status : 5 - Production/Stable [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Programming Language : R [Filter]
Topic : Machine Learning : Boosting [Filter]
Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
Topic : Multivariate Statistics : Linear Models [Filter]

Registered: 2007-07-07 15:13

4. Sparse group lasso [MOVED TO GITHUB] - Algorithms for solving sparse group lasso optimization problems. [MOVED TO GITHUB] https://github.com/vincent-dk
Development Status : 3 - Alpha [Filter] License : OSI Approved : GNU General Public License (GPL) [Filter] Operating System : MacOS [Filter] Operating System : Microsoft : Windows [Filter] Operating System : POSIX : Linux [Filter] Programming Language : C/C\+\+ [Filter] Programming Language : R [Filter] Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]	Activity Percentile: 0.00 Registered: 2011-02-28 13:48

5. 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 [Filter] Topic : Machine Learning : Boosting [Filter] Topic : Machine Learning : Regularized and Shrinkage Methods [Filter] Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]	Registered: 2010-06-29 15:27

6. 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 [Filter]
Topic : Cluster Analysis : Hierarchical Clustering [Filter]
Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
Topic : Optimization [Filter]

Registered: 2011-05-09 12:56

7. CoxFlexBoost - CoxFlexBoost: likelihood-based boosting approach to fit structured Cox-type survival models with linear, smooth and (linear/smooth) time-varying effects. By applying a component-wise boosting approach variable selection and model choice are possible.

Development Status : 4 - Beta [Filter]
Development Status : 5 - Production/Stable [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Programming Language : R [Filter]
Topic : Machine Learning : Boosting [Filter]
Topic : Machine Learning : Model Selection and Validation [Filter]
Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]

Registered: 2008-10-30 14:30

8. Sparse LDA - This package implements elasticnet-like sparseness in linear and mixture discriminant analysis as described in "Sparse Discriminant Analysis" by Line Clemmensen, Trevor Hastie and Bjarne Ersb
Development Status : 4 - Beta [Filter] Intended Audience : End Users/Desktop [Filter] License : OSI Approved : GNU General Public License (GPL) [Filter] Natural Language : English [Filter] Programming Language : R [Filter] Topic : Machine Learning : Regularized and Shrinkage Methods [Filter] Topic : Multivariate Statistics : Supervised Classification and Discriminant Analysis [Filter]	Activity Percentile: 0.00 Registered: 2009-01-22 16:44

9. OEM - An R package to implement orthogonalizing EM algorithm to solve regularized regression problems
Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]	Activity Percentile: 0.00 Registered: 2011-01-22 05:20

10. Point Process Statistics - This package implements statistical methods for one-dimensional marked point process models.

Development Status : 4 - Beta [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Programming Language : C/C\+\+ [Filter]
Programming Language : Fortran [Filter]
Programming Language : R [Filter]
Topic : Machine Learning : Model Selection and Validation [Filter]
Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]

Activity Percentile: 0.00

Registered: 2010-08-05 07:40