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 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 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
2 projects in result set.
Subgroup Discovery and Analytics  The rsubgroup package provides algorithms and tools for subgroup discovery and analytics for the free R environment. The package integrates an interface to the org.vikamine.kernel library of the VIKAMINE system (http://www.vikamine.org).  
Tags: subgroup discovery, pattern mining, analytics, data mining, machine learning  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20120504 15:02 
kOO kspatial cooccurrence analysis  The project aims at building an R package to implement and develop a published methodology analysing data from order k (k>=2) cooccurrences of events for spatial analysis of multivariate marked processes (point and areal).  
Tags: entropy, higher order moments, Clustering, Multivariate Techniques, geography, independence, multivariate, pattern mining, spatial, spatial data, spatial methods, spatial point patterns, spatiotemporal, spatiotemporal point patterns, data mining, dependence, disease mapping, multivariate statistics, population dynamics  

Activity Percentile: 0 Activity Ranking: 0 Registered: 20120608 08:56 