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Intended Audience > End Users/Desktop |
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9 projects in result set.
0. prepRISA - This package can be used to prepare ARISA data files for multivariate analysis. | |
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Activity Percentile: 0.00 Registered: 2009-11-20 09:49 |
1. 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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Activity Percentile: 0.00 Registered: 2010-05-06 10:59 |
2. Species Abundance Distributions - Tools to fit and compare models of species abundance distribution using likelihood-based methods | |
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Registered: 2011-01-24 12:50 |
3. Graphical Multiple Comparison Procedure - This package provides functions and a graphical user interface for graphical described multiple test procedures (sequentially rejective, Simes and parametric). | |
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Activity Percentile: 0.00 Registered: 2010-02-17 13:06 |
4. radR - processing of radar data in R - radR retrieves data from your live radar or recorded archive and analyses it for features, which are saved in replayable files that are much smaller than raw data sets. You can extend radR via plugins. | |
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Activity Percentile: 0.00 Registered: 2007-11-20 20:30 |
5. Protocol for Adjust & Select Models - This project is about modeling species abundances in communities. | |
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Activity Percentile: 0.00 Registered: 2011-01-18 16:54 |
6. pi0 estimators - Estimation of the proportion of true null hypotheses (pi0) from a large number of hypothesis tests; Non/parametric recovery of noncentrality parameter distribution; False discovary rates (FDR) computation. | |
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Activity Percentile: 0.00 Registered: 2010-03-21 02:01 |
7. 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 NOTE - THIS AREA IS NO LONGER UPDATED.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 |
8. Estimation and Model Checking for GLSM - This package mainly deals with generalized linear spatial models for estimation, model checking and prediction by using MCMC algorithms. | |
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Activity Percentile: 0.00 Registered: 2011-08-17 10:52 |