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 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 survival teaching text mining time series visualization
10 projects in result set.
Chain graph models in R  Software for fitting (block recursive) chain graphs in R.  
Tags: Graphical model, Multivariate Analysis, Multivariate Regression, Multivariate Techniques, Variables Selection, data mining, machine learning, markov, model estimation, multivariate, multivariate regression, multivariate statistics  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20150626 07:16 
Clusterwise Effect Regression  This software implements an algorithm that proposes variable clustering within high dimensional linear and probit regression models. The estimation strategy is based on mixed Gibbs Sampling and Stochastic EM algorithm.  
Tags: C++, Clustering, biostatistics, high dimentional data, multivariate regression, regression  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20130820 09:47 
NullSens  Partitioning Abiotic and Biotic Contributions to Community Variation  
Tags: Ecology, Multivariate Analysis, Multivariate Regression, bioinformatics, community ecology, community null model, ecological Inference, ecological models, ecology, linear models, model estimation, model performance, molecular ecology, multivariate regression, nonparametric, null model, parametric model, permutation tests, prediction, regression, robust statistics, simulations, spatial regression, spatiotemporal statistics, species abundance model, species distributions, statistical inference, variance partitioning  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20140505 19:49 
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 
flip: Multivariate Permutation Tests  A collection of Univariate and multivariate (i.e. overall and multiplicity control) permutation and rotation tests. dev page at https://github.com/livioivil/flip  
Tags: ANOVA, Multiple Comparisons, Multivariate Analysis, Multivariate Regression, Multivariate Techniques, R, RForge, biostatistics, bivariate, bivariate analysis, categorical, conditional inference, high dimentional data, missing, missing data, missing values, mixed model, mixture model, mixture modelling, multi, multidimensions, multivariate, multivariate regression, multivariate statistics, nonparametric, nonparametric anova, permutation test, permutation tests, statistical inference  
This project has not yet categorized itself in the Trove Software Map  Activity Percentile: 0 Activity Ranking: 0 Registered: 20131016 19:04 
lm.br  Exact significance tests for a changepoint in linear or multiple linear regression. Confidence intervals and confidence regions with exact coverage probabilities for the changepoint.  
Tags: changepoint, breakpoint, brokenline regression, change detection, linear models, nonlinear models, regression, structural break, thresholds, break detection, Regression, Multivariate Regression, multivariate, multivariate regression, multiple regression, Multivariate Analysis  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20130225 20:29 
modEvA  modEvA is an R package for species distribution model evaluation and analysis.  
Tags: model performance, model evaluation, Ecological niche modeling, GLM, Multivariate Analysis, Multivariate Regression, Multivariate Techniques, agreement, bivariate analysis, calibration, ecological Inference, ecological models, false discovery rate, generalized linear models, logistic, model, model comparison, model estimation, model selection, multivariate, multivariate regression, optimization, positive predictive value, sensitivity, species distribution models, specificity, variance partitioning  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20140404 11:51 
pcurve: principal curves  Package pcurve fits principal curves in high dimensions. It can be thought of as a nonlinear form of PCA. pcurve is an R port of Glenn De'aths pcurve library for SPlus.  
Tags: principal curves, ordination, Ecology, Machine Learning, Multivariate Analysis, Multivariate Regression, Multivariate Techniques, community ecology, constrained ordination, ecological models, ecology, environmetrics, machine learning, multivariate, multivariate regression, multivariate smoothing, multivariate statistics  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20130530 16:42 
therese  The purpose of this package is to propose a method for inferring networks from expression data obtained in various experimental condition. The "cLasso" (consensus Lasso) method is implemented.  
Tags: microarray, multivariate regression, network, penalized regression  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20130705 08:44 