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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 R-Forge Rcmdr Regression SNP Statistics Time series Visualization Whole-genome 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 non-parametrics 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 spatio-temporal species distribution models survival teaching text mining time series visualization

12 projects in result set.
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: 2013-08-20 09:47

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: 2012-09-10 18:11

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: 0
Activity Ranking: 0
Registered: 2015-05-24 13:36

Joint segmentation [MOVED TO GITHUB] - This package implements functions to quickly segment multivariate signals into piecewise constant profiles. Typical application: joint segmentation of DNA copy number signals obtained from Single Nucleotide Polymorphism microarrays in cancer studies.
Tags: Bioinformatics, CNV, Cancer, Copynumber, biostatistics, break detection, high dimentional data
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-01-04 20:37

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

OOMPA - OOMPA is a suite of R packages for the analysis of gene expression (RNA), proteomics profiling , and other high throughput molecular biology data. OOMPA uses S4 classes to construct object-oriented tools with a consistent user interface.
Tags: Bioinformatics, Clustering, Differential expression analysis, Gene expression, Multiple Comparisons, Multivariate Analysis, bioinformatics, clustering, false discovery rate, gene expression, high dimentional data, microarray, multivariate, permutation tests

Activity Percentile: 67
Activity Ranking: 15
Registered: 2013-08-29 17:48

RNetCDF - R Interface to NetCDF Datasets
Tags: ncdf files, API, datasets, high dimentional data, large data, metadata, missing data, spatial data

Activity Percentile: 0
Activity Ranking: 0
Registered: 2014-12-30 23:43

concurrence topology - Concurrence topology is a method for analyzing the dependence structure in multivariate binary data. It is particularly well suited for describing high-order dependence.
Tags: Multivariate Analysis, categorical, fMRI, high dimentional data, low sample size high dimensional data, multivariate, multivariate statistics, non-parametrics, nonparametric, time series
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-02-20 19:07

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, R-Forge, biostatistics, bivariate, bivariate analysis, categorical, conditional inference, high dimentional data, missing, missing data, missing values, mixed model, mixture model, mixture modelling, multi, multi-dimensions, 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: 2013-10-16 19:04

general multiple-table data management - Our objective is to develop classes of objects that (1) make handling multiple-table data sets easier and (2) seamlessly integrate with existing R plotting and model-fitting functions; our philosophy is to keep data management and data analysis separate.
Tags: Ecology, community ecology, database, ecology, high dimentional data

Activity Percentile: 0
Activity Ranking: 0
Registered: 2011-07-27 02:07

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 data-dependent 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: 2012-06-19 15:40

pi0 estimators - Estimation of the proportion of true null hypotheses (pi0) from a large number of hypothesis tests; Non/parametric recovery of noncentrality parameter distribution; False discovary rates (FDR) computation.
Tags: Multiple Comparisons, dissimilarity, distance, high dimentional data, microarray, multidimensional scaling, multiplicity, permutation tests, semiparametric model, spline, variable selection

Activity Percentile: 0
Activity Ranking: 0
Registered: 2010-03-21 02:01

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Vienna University of Economics and Business University of Wisconsin - Madison Powered By FusionForge