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5 projects in result set.
Augmented Prediction and Variable Select - The project is be focused on the development of R wrappers for glmnet package in order to evaluate the added value of multiple predictors set to the predictive model. In addition the quality of variable selection would be evaluated.
Tags: Multivariate Analysis, Multivariate Regression, PCA, Prediction, R, Rcpp, group lasso, lasso, model selection, regularization, sparse group lasso
This project has not yet categorized itself in the Trove Software Map

Activity Percentile: 0
Activity Ranking: 0
Registered: 2014-11-06 13:42

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: 2016-03-07 02:31

High-Dimensional Metrics - This package provides the implementation of selected high-dimensional statistical and econometric methods which enable estimation and valid post-selection inference on treatment and structural parameters in a high-dimensional setting.
Tags: Treatment Effects, Causal effects, Machine Learning, Multivariate Regression, Structural Equation Modelling, Instrumental Variables, high dimentional data, lasso

Activity Percentile: 12
Activity Ranking: 58
Registered: 2015-05-24 13:36

MPAgenomics - This package contains an implementation of the lars algorithm for the lasso and fusion penalization. It works even if the number of covariate is greater than the number of individuals.
Tags: lasso, lars, sparse linear model, C++, genomic, Bioinformatics, Multivariate Analysis, Multivariate Regression, high dimentional data, low sample size high dimensional data, penalized regression

Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-04-18 16:20

Sparse group lasso [MOVED TO GITHUB] - Algorithms for solving sparse group lasso optimization problems. [MOVED TO GITHUB]
Tags: sparse group lasso, group lasso, lasso, Bioinformatics, Biostatistics, Classification, Machine Learning, Multivariate Analysis, Multivariate Regression

Activity Percentile: 0
Activity Ranking: 0
Registered: 2011-02-28 13:48

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