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3 projects in result set.
Finite Mixure of AFT and FMR models  FMRS package provides estimation and variable selection in Finite Mixture of Accelerated Failure Time Regression (FMAFTR) and Finite Mixture of Regression (FMR) models with a large number of covariates and/or right censoring and heterogeneous structure.  
Tags: Bioinformatics, Biostatistics, C++, Cancer, Medical Science, Mixture, Next generation Sequencing, R, Regression, Statistics, lasso, model estimation, model selection, penalized regression, regularization, survival, tuning parameters, variable selection  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20160307 02:31 
c060  The c060 package provides functions to perform stability selection and parameter tuning for regularized generalized linear models (glmnet, coxnet) and functions to calculate resamplingbased predictions error curves for regularized cox models (coxnet).  
Tags: GLM, stability selection, survival, tuning parameters  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20120601 12:37 
penalizedSVM  Feature selection for SVM classification in high dimensions using penalty functions L1, SCAD, Elastic Net (L1+L2) and Elastic SCAD (SCAD+L2) SVM. Choice of datadependent tuning parameters: beside the standard fixed grid an interval search is implemented  
Tags: Classification, feature selection, machine learning, tuning parameters, penalty functions, high dimentional data, low sample size high dimensional data, Bioinformatics, Machine Learning  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20120619 15:40 