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12 projects in result set.
0. 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 |
1. picante - PICANTE: Phylocom integration, community analyses, null-models, traits and evolution in R |
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Registered: 2008-01-16 22:15 |
2. list - Statistical Methods for the Item Count Technique and List Experiment |
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Registered: 2011-04-16 20:16 |
3. vegan - Community Ecology Package - 'vegan' is a CRAN package for the analysis of ecological communities. It has tools for analysing ecological diversity, and for the multivariate analysis of communities (NMDS, pCCA, pRDA etc.) - Development on R-Forge discontinued, go to https://github.com/vegandevs/ |
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Registered: 2007-09-05 13:59 |
4. 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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Registered: 2009-01-30 14:25 |
5. Conditional multivariate extremes - Generalized Pareto distribution modelling, including penalized likelihood and Bayesian methods, and conditional multivariate extreme value modelling.
PROJECT MIGRATED TO Google Code: https://code.google.com/p/texmex/ |
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Registered: 2010-09-17 12:42 |
6. Benchmarking genomic data integration - Comparison pipeline for multi-platform data integration algorithms for functional genomics studies. Provides tools to compare performance between publicly available implementations |
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Registered: 2011-02-02 00:51 |
7. 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 |
8. UMPIRE - UMPIRE provides tools to simulate realistic biological expression data. It includes additive and multiplicative noise, correlated expression, inactive genes, and a link to outcome data that incorporates the multi-hit cancer model. |
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Registered: 2014-02-03 16:37 |
9. prepRISA - This package can be used to prepare ARISA data files for multivariate analysis. |
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Registered: 2009-11-20 09:49 |
10. coin: Conditional Inference Procedures - Conditional inference procedures for the general independence
problem including two-sample, K-sample (non-parametric ANOVA), correlation,
censored, ordered and multivariate problems. |
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Registered: 2012-01-26 14:41 |
11. 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 |