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96 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. cgen - Parallel Genomic Prediction and GWAS in R using Eigen and Rcpp
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Registered: 2013-05-29 18:34 |
1. logisticDx - Diagnostic tests for logistic regression. Includes 15x common diagnostic tests including leverage, dChi-square and dBhat per covariate pattern. Also plots for same.
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Registered: 2012-09-10 02:59 |
2. greenbrown - greenbrown is a collection of functions to analyse trends, trend changes and phenology in gridded time series like from satellite observations or climate model simulations.
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Registered: 2013-02-27 17:37 |
3. phylobase - Defining the basic S4 classes and methods for representing and manipulating phylogenetic trees and data in R.
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- Topic : Genetics : Phylogenetics [Filter]
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Registered: 2007-12-14 19:17 |
4. Statistical analysis of DNA mixtures - Statistical analysis of mixed traces of DNA with artefacts. Features include parameter-fitting, visual diagnostics, evaluation of the likelihood, and genotype prediction. Full functionality requires a licenced copy of Hugin (www.hugin.com).
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Registered: 2013-07-07 18:26 |
5. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects.
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Registered: 2012-05-15 16:23 |
6. Mixed-pair mutual information estimators - Fast calculation mutual information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Also provides jackknife bias correction and tests for association.
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Registered: 2012-08-10 08:48 |
7. The adegenet package - The package adegenet is devoted to the multivariate analysis of genetic markers data.
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- Topic : Genetics : Population Genetics [Filter]
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Registered: 2008-01-06 17:38 |
8. CoxFlexBoost - CoxFlexBoost:
likelihood-based boosting approach to fit structured Cox-type survival models with linear, smooth and (linear/smooth) time-varying effects.
By applying a component-wise boosting approach variable selection and model choice are possible.
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- Topic : Machine Learning : Boosting [Filter]
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Registered: 2008-10-30 14:30 |
9. trip -- animal tracking data - The development of trip package is now hosted on GitHub,
https://github.com/mdsumner/trip
MDSumner 2013-07-04
Location estimation, track and spatial analysis for animal tag data.
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Registered: 2010-06-24 02:07 |
10. Floating Grid Method - FGM is a method for exploring randomness of dyadic interactions at a range of spatial scales.
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2013-10-14 12:26 |
11. AMBUR - AMBUR provides a suite of functions to analyze historical shoreline changes and other boundary movements.
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Registered: 2009-07-10 18:28 |
12. HaarSeg [MOVED TO GITHUB] - This repository and its package has been moved to <https://github.com/HenrikBengtsson/HaarSeg>
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Registered: 2009-06-05 00:29 |
13. RootTreeToR - !! NOTE - THIS AREA IS NO LONGER UPDATED. See https://cdcvs.fnal.gov/redmine/projects/roottreetor INSTEAD.
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Registered: 2009-06-17 16:54 |
14. 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 |
15. aroma.* packages [MOVED TO GITHUB] - This repository and all of its packages have been moved to https://github.com/HenrikBengtsson/
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Registered: 2009-05-19 20:01 |
16. DICOM: Import DICOM data via R - The DICOM package is a small collection of R functions to import binary data files (e.g., MRI, CT, PET, etc.) that conform to the DICOM Data Standard.
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Registered: 2009-05-29 21:29 |
17. CorReg - find a structure explaining correlations between covariates and use it to compute linear regression. It provides an efficient new estimator for recursive SEM.
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Registered: 2013-11-14 14:32 |
18. 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 |
19. HAB bathymetry models - R implementation of the remote sensing based Hydraulically Assisted Bathymetry models (HAB) developed by Fonstad, M. & Marcus, W. (2005). Functions are provided for modelling with a range of custom variables. Summary functions are provided as well.
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Registered: 2009-05-08 10:01 |
96 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
