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 linear programming 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 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
6 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 
ClustMMDD  This package deals with the twofold problem of variable selection and clustering by mixture of multinomial models for discrete data. Genotype data are examples of such data with two unordered observations (alleles) at each locus for diploid individual.  
Tags: C++, Clustering, EM, Rcpp  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20150518 21:25 
ODE Solvers Compiled OnDemand  The odeintr package generates compiled ODE solvers ondemand. It uses the Boost odeint library and Rcpp.  
Tags: C++, Ecology, Economics, Fast, Fisheries, Forestry, HPC, ODE, R, Rcpp, dynamic systems, ecological models, ordinary differential equations, simulation, solver  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20150506 21:14 
R integration for the stk++ library  STK++ is a versatile, fast, reliable and elegant collection of C++ classes for statistics. Using rtkpp, R users and package developers will not need to install STK++ itself in order to use the library.  
Tags: Rcpp, Linear Algebra, Clustering, classification, clustering, C++, library  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20140806 20:09 
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 
netbenchmark  The development version of netbenchmark package, which implements a benchmarking of several gene network inference algorithms from gene expression data.  
Tags: Gene expression, R, RStudio, Rcpp, benchmark, gene expression, gene networks, Bioinformatics  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20141128 09:55 