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29 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. 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 |
1. 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 |
2. digest - 'hash' arbitrary R objects - The digest package provides functions for the creation of `hash'
digests of arbitrary R objects using the md5, sha-1 and crc32
algorithms permitting easy comparison of R language objects.
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Registered: 2008-03-01 16:25 |
3. 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 |
4. partykit: Recursive Partytioning Toolkit - Infrastructure for representing, summarizing, and visualizing tree-structured models. It can be used for constructing or reading tree models from different sources (rpart, RWeka, PMML), sharing
functionality for print/plot/predict methods.
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- Topic : Machine Learning : Recursive Partitioning [Filter]
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Registered: 2008-09-30 11:39 |
5. 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 |
6. stringi - stringi is THE R package for correct, fast, convenient and consistent string processing in each locale
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Registered: 2012-12-31 11:09 |
7. 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 |
8. 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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- Topic : Multivariate Statistics : Unsupervised Classification [Filter]
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Registered: 2011-02-25 12:40 |
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. gsDesign: Group Sequential Design - Generates group sequential designs using alpha- and beta-spending functions or Wang-Tsiatis (e.g., O'Brien-Fleming and Pocock) boundary families. Many plotting capabilities as well as non-binding futility rules are available. Easily extended.
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Registered: 2008-08-31 13:07 |
11. 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 |
12. 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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- Topic : Bayesian Statistics [Filter]
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Registered: 2011-10-11 08:51 |
13. 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 |
14. 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 |
15. 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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- Topic : Social Sciences : Analysis of Categorical and Count Data [Filter]
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Registered: 2010-06-12 18:24 |
16. 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]
- Topic : Multivariate Statistics : Projection Methods [Filter]
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Registered: 2008-11-18 15:35 |
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. 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]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Optimization [Filter]
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Registered: 2011-05-09 12:56 |
19. analogue - quantitative palaeoecology - analogue fits Modern Analogue Technique (MAT) and Weighted Averaging (WA) transfer function models for prediction of environmental data from species data.
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Registered: 2007-09-07 13:38 |
29 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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