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3 projects in result set.
FusedANOVA  This package adjusts a penalized ANOVA model with FusedLASSO (or Total Variation) penality, i.e. a sum of weighted l1norm on the difference of each coefficient. The fitting procedure is accompanied with a highly efficient crossvalidation method.  
Tags: sparse method, penalized regression, crossvalidation, classification  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20130926 07:58 
Matrix  Methods and Classes  R package with S4 classes and methods for matrices, linking to stateoftheart algorithms for dense and sparse matrices, notably Lapack, CHOLMOD and Csparse.  
Tags: Class Hierarchy, Factorization, Linear Algebra, linear models, lme4, matrix manipulation, mixed effect models, multivariate, solve, sparse linear model, sparse method  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20070817 17:30 
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 (crossvalidation, stability selection).  
Tags: multivariate regression, sparse method, penalized regression, feature selection, crossvalidation, stability selection, elasticnet  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20130321 09:55 