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33 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
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0. MuMIn - multi-model inference - This package contains functions for model selection and model averaging based on information criteria (AICc, AIC or alike).
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Activity Percentile: 42.11
Registered: 2009-01-30 14:25 |
1. 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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Registered: 2010-03-21 02:01 |
2. SensoMineR - SensoMineR is dedicated to sensory data analysis. It tackles the following problems: characterizing products, assessing panel performances, relating sensory and instrumental data, mapping consumers’ preferences, napping data, categorizing products.
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Registered: 2010-06-24 10:02 |
3. RcmdrPlugin.FactoMineR - RcmdrPlugin.FactoMineR is an add-on R package which provides graphical user interface for the FactoMineR R package.
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Registered: 2010-06-23 08:26 |
4. RcmdrPlugin.SensoMineR - SensoMineR package's graphical user interface.
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Registered: 2010-06-24 10:03 |
5. RDataMining - a package for data mining - A comprehensive R Package for Data Mining, with contributions from many R users.
If you have developed or will implement any data mining algorithms in R, please participate in this project to make your work available to R users worldwide.
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Registered: 2012-06-06 05:19 |
6. 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 |
7. semtools: Methods for SEMs - semtools - Methods for Diagnostic Testing of Structural Equation Models
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Registered: 2010-09-21 22:15 |
8. Diagnostic and prognostic meta-analysis - This package provides functions for diagnostic and prognostic meta-analyses. It estimates univariate, bivariate and multivariate models, and allows the aggregation of previously published prediction models with new data.
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Registered: 2012-08-09 13:01 |
9. 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 |
10. Extremal processes - Modelling and Analysis of Extremal Processes
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Registered: 2010-01-28 09:50 |
11. list - Statistical Methods for the Item Count Technique and List Experiment
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Registered: 2011-04-16 20:16 |
12. RMesquite - RMesquite establishes interoperability between Mesquite (http://mesquiteproject.org) and R. It exposes Mesquite methods transparently as R functions that consume and provide native R data types, and converts seamlessly between Java and R data types.
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Registered: 2008-07-17 03:57 |
13. prepRISA - This package can be used to prepare ARISA data files for multivariate analysis.
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Registered: 2009-11-20 09:49 |
14. Muste - the R implementation of Survo - Muste - Multiplatform Survo Type Editorial Environment for Data Analysis
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Registered: 2011-06-27 14:20 |
15. pcurve: principal curves - Package pcurve fits principal curves in high dimensions. It can be thought of as a non-linear form of PCA. pcurve is an R port of Glenn De'aths pcurve library for S-Plus.
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Registered: 2013-05-30 16:42 |
16. umx: A helper library for SEM in OpenMx - umx provides functions making it easy to build, run, modify, and report the results of Structural Equation Models (SEM) using OpenMx. Examples include setting start values: umxStart(); labels: umxLabel(); and reporting; umxSummary().
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Registered: 2013-08-28 13:52 |
17. 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 |
18. desirability - S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980)
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Registered: 2008-06-01 01:09 |
19. OOMPA - OOMPA is a suite of R packages for the analysis of gene expression (RNA), proteomics profiling , and other high throughput molecular biology data. OOMPA uses S4 classes to construct object-oriented tools with a consistent user interface.
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Registered: 2013-08-29 17:48 |
33 projects in result set. Displaying 20 per page. Projects sorted by activity ranking.
<1>
