ANOVA Artificial Neural Network Bayesian Bioinformatics Biostatistics C++ Cancer Chemoinformatics Classification Clustering Copynumber DNA Ecology Economics Finance GDAL GUI Genetic Algorithms Genetics Graphical User Interface HPC Machine Learning Machine learning Multiple Comparisons Multivariate Analysis Multivariate Regression Multivariate Techniques Next generation Sequencing ODE Phylogeny R R-Forge Regression Sequence analysis Time series Visualization Whole-genome animal beta diversity bioinformatics biostatistics break detection categorical change detection classification clustering community ecology data mining database datasets dependence differential equations dissimilarity distance distributions diversity dynamic systems ecological models ecology econometrics economics educational tool environmetrics epidemiology finance gene expression generalized linear models genetics graphics high dimentional data likelihood linear models linear programming longitudinal data machine learning marginal likelihood microarray missing data missing values mixed effect models mixed integer programming mixed model model model comparison model estimation model selection model specification movement multivariate multivariate regression multivariate statistics network non-parametrics nonlinear equations nonlinear models nonparametric optimization ordination parametric model pattern recognition permutation tests phylogeny plotting political analysis population genetics prediction psychology raster regression remote sensing reporting resampling methods robust statistics sampling simulation social network analysis social networks soil spatial spatial autocorrelation spatial classes spatial data spatial econometrics spatial methods spatial operators spatial point patterns spatial regression spatio-temporal species distribution models spline statistical education survival taxonomic diversity teaching text mining time series trajectory trend analysis 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|
Activity Percentile: 0
Activity Ranking: 0
Registered: 2010-04-13 10:26