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27 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. WMCapacity - The WMCapacity project implements hierarchical Bayesian models of working memory capacity, including Cowan's (2001) and Pashler's (1988) multinomial tree models. An SPSS-like GUI is provided for model building and MCMC setup.
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Registered: 2009-09-25 14:45 |
1. Clustering using convex fusion penalties - An R/C++ implementation of the clusterpath algorithm described in Hocking et al. 2011, for robust convex clustering using sparsity-inducing fusion penalties.
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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
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Registered: 2011-05-09 12:56 |
2. Nonparametrics for Clustered Binary Data - CorrBin implements nonparametric methods for analysing exchangeable binary and multinomial data with variable cluster sizes with emphasis on trend testing.
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Registered: 2008-10-02 19:05 |
3. splinesurv - A package containing utilities for nonparametric Bayesian analysis of clustered survival data. The baseline hazard function and frailty density are modeled using penalized B-splines. Regression and spline parameters are estimated via MCMC.
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Registered: 2008-01-08 16:50 |
4. TikZ Device - A Device for LaTeX-friendly output of R graphics in the PGF/TikZ Format
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Registered: 2009-05-31 23:42 |
5. Earth Mover Distance - EarthMovDist implements the Earth Movers distance in R.
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Registered: 2009-02-17 06:53 |
6. Profile Dirichlet Process Mixtures - This package facilitates profile inference for a class of product partition models (PPM). The Dirichlet process mixture is a specific case in this class. These methods search for the maximum posterior (MAP) estimate for the cluster partition in the PPM.
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Registered: 2009-04-24 15:56 |
7. Conditional Random Fields - This project provides a set of tools for conditional random fields tasks such as decoding/inference/sampling/training.
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Registered: 2010-12-28 07:13 |
8. Corbi - A collection of bioinformatics tools for general purposes such as network query, protein structure alignment, gene expression analysis.
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Registered: 2011-09-26 05:04 |
9. TopKLists - The package includes tools for inference, aggregation, and visualization of multiple ranked lists. Consolidated information from two or more such lists comprising the same set of objects can be obtained. Incomplete rankings and partial lists are allowed.
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Registered: 2010-05-06 10:59 |
10. Regression Models for Ordinal Data - This project hosts the R-package 'ordinal'. The ordinal R-package implements likelihood based models for ordinal (ordered categorical) data based on cumulative probabilities in the framework of cumulative link (mixed) models.
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Registered: 2010-06-12 18:24 |
11. Hyper-g Priors for GAM selection - This R-package implements objective Bayesian model selection with penalised splines, using a so-called hyper-g prior for the parameters in the generalised additive model.
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Registered: 2011-08-11 09:12 |
12. Models for Data from Unmarked Animals - This is a stub. Development now continues at http://github.com/ianfiske/unmarked.
unmarked analyzes wildlife data arising from many popular wildlife sampling techniques using 2-stage hierarchical models.
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Registered: 2007-07-25 14:05 |
13. simecol - Ecological Models with R - simecol allows to implement ecological models (ODEs, IBMs, ...) using a template-like object-oriented stucture. It helps to organize scenarios and may also be useful for other areas.
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Registered: 2008-02-20 20:34 |
14. Gradient forest - Detecting biological composition patterns along environmental gradients from site-by-species ecological data. Package gradientForest calculates the gradients from split-point importances provided by auxiliary package extendedForest, based on randomForest.
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Registered: 2011-01-06 08:05 |
15. Yasomi: Self-Organising Map in R - Yasomi is Yet Another Self-Organising Map Implementation. It provides an implementation of Kohonen's SOM, with extension to kernel variants and comprehensive visualisation capabilities.
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Registered: 2011-02-25 12:40 |
16. casper - casper infers alternative splicing from high-throughput sequencing data both for known variants and de novo discovery. We use a Bayesian model with few assumptions, and modern model selection ideas with improved theoretical and computational properties.
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Registered: 2011-10-11 08:51 |
17. Multiple Cue Probability Learning - mcplR offers a flexible (S4) framework to investigate multiple cue probability learning (MCPL). mcplR incorporates a number of learning models (Rescorla-Wagner, GCM, ALCOVE, etc) in a general state-space framework, where new models can be easily added.
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Registered: 2007-09-07 14:37 |
18. adephylo - The package 'adephylo' implements multivariate approaches for comparative data, i.e. data including one phylogeny and one or several traits.
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- Topic : Genetics : Phylogenetics [Filter]
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Registered: 2008-11-18 15:35 |
19. Markov decision processes (MDPs) in R - Create and optimize MDPs with discrete time steps and state space. Both normal MDPs and hierarchical MDPs can be considered.
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Registered: 2009-06-08 12:06 |
27 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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