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7 projects in result set.
0. Extremal Dependence - Extremal Dependence package provides parametric and nonparametric statistical methods for modelling and estimating the dependence of extreme values
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
- Topic : Multivariate Statistics : Visualising Multivariate Data [Filter]
- Topic : Spatial Data & Statistics : Geostatistics [Filter]
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Registered: 2014-12-02 11:09 |
1. R package nlstools - The R package nlstools: a toolbox for nonlinear regression diagnostics
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- Topic : Regression Models [Filter]
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Registered: 2009-02-24 11:54 |
2. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling.
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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Multivariate Statistics : Missing Data [Filter]
- Topic : Regression Models [Filter]
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Registered: 2011-06-17 13:35 |
3. Soil water - The project has now moved to GitHub: https://github.com/julienmoeys/soilwater
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- Topic : Environmetrics [Filter]
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Registered: 2010-08-17 21:13 |
4. Modelling Peaks Over Threshold - The project consists in developing functions for peaks over threshold modeling. Most of results come from the extreme value theory (EVT). The EVT is currently extensively used, mostly in environmental sciences and finance.
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- Topic : Finance : Risk Management : Value at Risk [Filter]
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Registered: 2007-09-21 14:29 |
5. qsaR in R - This project aims at building a flexible framework for working with QSAR in R.
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- Topic : Biostatistics & Medical Statistics [Filter]
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Registered: 2012-10-22 23:24 |
6. SpatialExtremes - The SpatialExtremes package aims to develop tools for the modeling of spatial extremes. The knowledge of the univariate/multivariate distribution of extremes is not enough. This package will try to fill this gap.
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Registered: 2008-10-04 11:03 |
