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
1 project in result set.
|Sequence analysis for social scientists - TraMineR is intended for mining and visualizing sequences of states or events. Its primary aim is the analysis of longitudinal data in the social science field but many of its features may also apply to non temporal data such as text or DNA sequences.|
|Tags: event histories, sequence, sequence analysis, state sequence, event sequence, trajectory, visualization, dissimilarity, distance, discrepancy, optimal matching, representative sequence, ANOVA, tree, frequent patterns, data mining, longitudinal data|
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Registered: 2010-04-13 10:26