Software Map
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ANOVA Bayesian Bioinformatics Bioinformatics & Biostatistics Biostatistics C++ Cancer Chemoinformatics Classification Clustering Copynumber DNA Ecology Economics Finance GUI Genetic Algorithms Genetics HTML Machine Learning Machine learning Mixture Multiple Comparisons Multivariate Analysis Multivariate Regression Multivariate Techniques Next generation Sequencing ODE Phylogeny R RForge Rcmdr Regression SNP Statistics Time series Visualization Wholegenome bioinformatics biostatistics break detection categorical change detection classification clustering community ecology data mining database datasets dissimilarity distance distributions diversity dynamic systems ecological models ecology econometrics economics epidemiology finance gene expression generalized linear models genetics graphics high dimentional data likelihood linear models machine learning microarray missing data missing values mixed effect models mixed model model comparison model estimation model selection movement multivariate multivariate regression multivariate statistics nonparametrics nonlinear models nonparametric optimization parametric model permutation tests phylogeny plotting political analysis prediction psychology raster regression remote sensing reporting robust robust statistics simulation soil spatial spatial autocorrelation spatial classes spatial data spatial methods spatial point patterns spatial regression spatiotemporal species distribution models stochastic processes survival teaching text mining time series visualization
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: 20141106 13:42 
Fast Regularized Canonical Correlation  This R package implements the Fast Regularized Canonical Correlation method.  
Tags: Bioinformatics, data mining, high dimentional data, regularization  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20120910 18:11 
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 
l2boost  Efficient boosting method using the l2loss function with gradient descent along coordinate direction basis functions for linear regression.  
Tags: boosting, critical direction, gradientcorrelation, regularization, repressibility, solution path, Machine Learning  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20120501 11:39 
lassovar  Estimation and forecasting of multiple time series (VAR) using regularized estimators. Main focus on Lasso and variants.  
Tags: Multivariate Regression, large data, model estimation, model selection, regularization  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20130116 16:08 