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Development Status :: 4 - Beta [Remove This Filter]
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Natural Language > German |
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9 projects in result set.
0. R-Forge Site Admin - This project contains the R-Forge site itself. Bugs, feature requests regarding R-Forge can be send with the implemented tracker. | |
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Registered: 2007-05-04 09:07 |
1. Symphony in R - An R interface to the SYMPHONY MILP solver. | |
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Activity Percentile: 0.00 Registered: 2007-12-17 15:44 |
2. Integer and Nonlinear Optimization in R - The project "Integer and Nonlinear Optimization in R (RINO)" provides the packages Rbonmin, Rlago (both interfaces to MINP solvers) and solnp. | |
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Activity Percentile: 0.00 Registered: 2008-03-14 14:49 |
3. klausuR: Multiple Choice Test Evaluation - A package to generate results of multiple choice tests: Detailed global results, anonymous/personalised feedback (LaTeX or PDF), item statistics like Cronbach's alpha or disciminatory power. Supports parallel test forms and partially answered items. | |
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Activity Percentile: 0.00 Registered: 2010-11-15 14:58 |
4. synbreed - Collection of statistical and genetic methods developed for the synbreed project for synergistic plant and animal breeding.
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Activity Percentile: 0.00 Registered: 2010-03-05 10:51 |
5. move: analyze animal movement data - move is a package that contains functions to access movement data stored in movebank.org as well as tools to visualize and statistically analyse animal movement data. Move addresses movement ecological questions. | |
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Activity Percentile: 0.00 Registered: 2012-03-28 07:52 |
6. 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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Activity Percentile: 0.00 Registered: 2013-02-27 17:37 |
7. cgen - Parallel Genomic Prediction and GWAS in R using Eigen and Rcpp | |
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Activity Percentile: 0.00 Registered: 2013-05-29 18:34 |
8. 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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Activity Percentile: 0.00 Registered: 2017-08-30 21:22 |