Software Map

Tag cloud | Project Tree | Project List

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 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 non-parametrics 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 spatio-temporal species distribution models stochastic processes survival teaching text mining time series visualization

2 projects in result set.
Matrix Methods and Classes - R package Matrix provides a hierarchy of matrix classes, both dense & sparse. Numerous methods & operations on these matrices using BLAS & Lapack; further CHOLMOD and other libraries from the SuiteSparse collection.
Tags: Class Hierarchy, Factorization, Linear Algebra, Numeric Computation, R, linear mixed effects, linear models, matrix manipulation, sparse linear model

Activity Percentile: 39
Activity Ranking: 21
Registered: 2007-08-17 17:30

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: 2014-08-06 20:09

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