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61 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. Clustericat - This package performs clustering for categorical data-set by the conditional correlated mixture model. It contains a function clusteringcat() performing the clustering on categorical data-set and returns object of appropriate class.
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Registered: 2013-12-05 14:22 |
1. 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 |
2. cgen - Parallel Genomic Prediction and GWAS in R using Eigen and Rcpp
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Registered: 2013-05-29 18:34 |
3. libamtrack - This package is the R interface to the open-source, ANSI C library libamtrack (http://libamtrack.dkfz.org). It provides computational routines for research in proton and ion beam therapy.
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Registered: 2014-06-28 12:14 |
4. shp2graph - This project provides functions to convert a "spatial" object of a road network to a "graph-class" or "igraph-class" object, which makes "igraph", "graph" and "RBGL" available for analysing it.
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Registered: 2011-01-12 17:41 |
5. 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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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2011-01-06 08:05 |
6. 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 |
7. 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 |
8. 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 |
9. rGEDI - rGEDI: NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing
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- Topic : Spatial Data & Statistics : Point Pattern Analysis [Filter]
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Registered: 2020-03-12 20:57 |
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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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2008-08-31 13:07 |
11. 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 |
12. 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 |
13. pfda: Functional Principal Components - The PFDA package for R performs functional principal component analysis with B-splines for univariate and bivariate responses. Also handled are binary responses and an additive model for extra variables.
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Registered: 2010-01-12 21:52 |
14. 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 |
15. 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 |
16. 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 |
17. GWASBinTests - Bin-based analysis of genome-wide association studies
Given an a priori partitioning of the genome into regions termed bins, GWASBinTests can compute
p-values (and FDRs) of several association tests.
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Registered: 2011-10-07 17:59 |
18. FFD - Freedom From Disease - The project provides tools for two-stage surveys to substantiate freedom from disease using imperfect diagnostic tests. Risk based sampling and a graphical user interface (GUI) are implemented.
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Registered: 2010-07-15 14:07 |
19. Quasi-likelihood parameter estimation - The package provides methods for parameter estimation for statistical models that can be simulated. We follow a quasi-likelihood approach to estimate the unknown parameter by the root of the so-called quasi-score estimating function.
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Registered: 2017-08-30 21:22 |
61 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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