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6 projects in result set.
0. RobKalman - Package robKalman implements several robustifications of rhe classical Kalman filter; a common filtering iterface for all robustifications is provided as well as S4-classes for state space models and filtering results.
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- Development Status : 3 - Alpha [Filter]
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Registered: 2007-11-06 20:07 |
1. 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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- Development Status : 1 - Planning [Filter]
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Registered: 2007-11-06 20:18 |
2. robustbase - Basic Robust Statistics - R package for "Essential" Robust Statistics: Tools for data analysis with robust methods; incl. regression & multivariate stats; targeting to cover "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; 2006.
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- Development Status : 5 - Production/Stable [Filter]
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- Natural Language : German [Filter]
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- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
- Topic : Regression Models [Filter]
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Registered: 2007-08-17 15:17 |
3. 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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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Multivariate Statistics [Filter]
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Registered: 2008-09-16 15:34 |
4. distr - S4 classes for distributions - Project distr currently hosts pkg's distr, distrEx, distrSim, distrTEst, distrTeach, distrMod, distrDoc, startupmsg, SweaveListingUtils, distrEllipse, distrRnews, setRNG. For reference, see also vignette "distr" in pkg distrDoc.
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Registered: 2007-11-06 19:55 |
5. 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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- Development Status : 3 - Alpha [Filter]
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Registered: 2014-11-11 15:14 |
