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5 projects in result set.
0. Robust time series analysis - Provides various approaches for robust estimation of (partial) autocorrelation and autocovariance. There are also procedures for robust fitting and filtering of AR(p) processes as well as for robust change point detection.
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Registered: 2014-11-11 15:14 |
1. yags: modular GEE solver - yags is a modular solver for generalized estimating equations.
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- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Multivariate Statistics : Linear Models [Filter]
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Registered: 2009-01-04 12:17 |
2. Local Depth - The package "localdepth" contains functions for the evaluation of some Depth functions and their corresponding local versions, namely Local Depths. Simplicial, Ellipsoid and Mahalanobis Depths are implemented for general dimension.
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- Development Status : 2 - Pre-Alpha [Filter]
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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Multivariate Statistics [Filter]
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Registered: 2008-09-16 15:34 |
3. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects.
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Registered: 2012-05-15 16:23 |
4. robust-ts: Robust Time Series - "robust-ts" is a collaborative project to provide robustifications to the basic time series procedures from package stats. A target will be chapter 8 in "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; 2006.
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Registered: 2007-11-06 20:18 |
