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286 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. modEvA - modEvA is an R package for species distribution model evaluation and analysis.
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Activity Percentile: 55.56
Registered: 2014-04-04 11:51 |
1. Cytangle - Analyze single cell mass cytometry data
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Activity Percentile: 11.11
Registered: 2016-10-26 12:51 |
2. HTSanalyzeR - HTSanalyzeR provides state-of-the-art analysis methods of pathway and network enrichment for High-Throughput Screens in a unified framework and provides easy-to-understand HTML output
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Registered: 2010-06-28 19:28 |
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. 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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Registered: 2008-10-30 14:30 |
5. The adegenet package - The package adegenet is devoted to the multivariate analysis of genetic markers data.
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Registered: 2008-01-06 17:38 |
6. CRImage - CRImage is a package to process and analyze biological images.
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Registered: 2010-06-27 11:26 |
7. Eddy-Covariance Data Processing - --- This r-foge procject is deprecated. ---
Now on github: https://github.com/bgctw/REddyProc
and on CRAN: http://cran.r-project.org/package=REddyProc
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Registered: 2013-05-27 12:20 |
8. NetSim: A social network simulation tool - A tool to simulate social networks and individual behavior by combining different dynamic models.
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Registered: 2013-01-10 15:10 |
9. SOMbrero - SOMbrero is an R package dedicated to online Self-Organizing Map. It can be used to train SOM for numeric datasets, contingency tables and dissimilarity data.
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Registered: 2013-06-28 10:16 |
10. Mutoss - Mutoss (multiple hypotheses testing in an open software system) aims at providing a unified, extensible interface covering a large spectrum of multiple hypotheses testing procedures in R. Features a GUI and a simulation tool. Funded by PASCAL2.
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Registered: 2010-02-11 12:32 |
11. 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 |
12. RInside - R inside C++ - RInside provides simple C++ classes that make it easy to embed R into your C++ applications.
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Registered: 2009-02-08 22:38 |
13. NewmanOmics - Develop and implement extensions to the Newman studentized range statistic that can be applied to transcriptomic data
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Registered: 2017-02-15 20:58 |
14. CITAN - CITAN is a library of functions useful in - but not limited to - quantitative research in the field of scientometrics.
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Registered: 2011-04-24 10:39 |
15. to_be_removed - --
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Registered: 2010-08-09 10:48 |
16. immunoassay - The purpose of this project is to allow fine-tuning of sigmoidal models beyond the limits of instrument software; and to provide functions for batch processing of output files and creation of reports with nice graphics.
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Registered: 2011-03-17 12:58 |
17. 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 |
18. hyperSpec - hyperSpec is a R package to handle hyperspectral data, i.e. spectra plus further information such as spatial location, time, concentrations, etc.
Such data are frequently encountered in Raman, IR, NIR, UV/VIS, NMR, mass spectroscopy, AAS / AES, ...
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Registered: 2009-02-23 09:27 |
19. Tools for Uplift Modeling - The R Package tools4uplift integrates some tools for exploring and modeling uplift. The content can be separated into the following steps of statistical modeling: quantization, visualization, model selection and model validation.
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Registered: 2018-08-31 21:23 |
286 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
