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4 projects in result set.
Class Prediction  A suite of packages that can bu used for "class prediction" problems. Includes tools to standardize trainingtesting regimens and crossvalidation schemes.  
Tags: Bioinformatics, Gene expression, Genetic Algorithms, Machine Learning, Machine learning, Multivariate Regression, SelfOrganizing Map, bioinformatics, classification, crossvalidation, gene expression, genetic algorithms, machine learning, model, prediction, validation  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20140203 16:15 
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 
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 
forestFloor  stable: http://cran.rproject.org/web/packages/forestFloor/index.html dev: https://github.com/sorhawell/forestFloor forestFloor is a package to visualize random forest  
Tags: C++, Regression, Bioinformatics, Chemoinformatics, FNN, Machine Learning, Rcpp, classification, crossvalidation, data mining, kNN, nonlinear models, random forest  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20150101 21:32 