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8 projects in result set.
0. cgen - Parallel Genomic Prediction and GWAS in R using Eigen and Rcpp |
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Registered: 2013-05-29 18:34 |
1. 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 |
2. ordijuice - ordijuice is package for unconstrained ordination of vegetation data, running under JUICE software (http://www.sci.muni.cz/botany/juice/). Generally a wrapper for functions from package vegan, with some additional functions. |
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- Topic : Bioinformatics : Visualization [Filter]
- Topic : Multivariate Statistics : Visualising Multivariate Data [Filter]
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Registered: 2009-02-18 08:49 |
3. 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 |
4. 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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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2012-03-28 07:52 |
5. Bayesian Estimation and Model Checking - This package mainly deals with generalized linear spatial models in Bayesian way for estimation, prediction and model checking. |
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Registered: 2011-08-18 03:20 |
6. Easy database interface - Simple database interface for SQLite, MySQL and MS Access. It provides functions for easily reading, writing, listing and subsetting tables in SQLite, MySQL and MS Access. easydb is build on top of RSQLite and RODBC. |
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Registered: 2011-08-19 09:26 |
7. NDVI Time Series extraction and analysis - The routines extract automatically NDVI time series from different satellites (AVHRR, Spot Vegetation, MODIS) and provide tools to display and analyze them. Phenological metrics can be computed for every season as well as vegetation anomaly maps. |
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Registered: 2011-06-23 07:05 |