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 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

2 projects in result set.
Dynamic Time Warp - Comprehensive implementation of Dynamic Time Warping algorithms in R. Supports arbitrary local (eg symmetric, asymmetric, slope-limited) and global (windowing) constraints, fast native code, several plot styles, and more.
Tags: data mining, time series, dynamic programming

Activity Percentile: 0
Activity Ranking: 0
Registered: 2007-11-29 18:01

Dynamic Treatment Regimes - A package implementing several modern methods to estimate Dynamic Treatment Regimes: Q-Learning, Interactive Q-Learning, and two value-search methods each using Augmented Inverse Probability Weighted Estimators or Inverse Probability Weighted Estimators.
Tags: Regression, causal inference, dynamic programming, longitudinal data, regression, robust, robust statistics

Activity Percentile: 0
Activity Ranking: 0
Registered: 2015-01-20 22:09

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