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Topic :: Robust Statistics [Remove This Filter]
Programming Language :: C/C++ [Remove This Filter]
8 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. |
- Development Status : 3 - Alpha [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Robust Statistics (Now Filtering)
- Topic : Time Series [Filter]
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Registered: 2014-11-11 15:14 |
1. 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. |
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers [Filter]
- License : OSI Approved : GNU Lesser General Public License (LGPL) [Filter]
- Natural Language : English [Filter]
- Natural Language : German [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Education [Filter]
- Topic : Robust Statistics (Now Filtering)
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Registered: 2007-11-06 19:55 |
2. CorReg - find a structure explaining correlations between covariates and use it to compute linear regression. It provides an efficient new estimator for recursive SEM. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- Natural Language : English [Filter]
- Natural Language : French [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Econometrics : Linear Regression Models [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics (Now Filtering)
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Registered: 2013-11-14 14:32 |
3. yags: modular GEE solver - yags is a modular solver for generalized estimating equations. |
- Development Status : 3 - Alpha [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Multivariate Statistics : Linear Models [Filter]
- Topic : Robust Statistics (Now Filtering)
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Registered: 2009-01-04 12:17 |
4. 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. |
- Development Status : 2 - Pre-Alpha [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Multivariate Statistics [Filter]
- Topic : Robust Statistics (Now Filtering)
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Registered: 2008-09-16 15:34 |
5. Linear quantile mixed models - This project is aimed at developing an R package to fit and analyse quantile regression models with random effects. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics (Now Filtering)
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Registered: 2012-05-15 16:23 |
6. 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. |
- Development Status : 1 - Planning [Filter]
- Intended Audience : Developers [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Robust Statistics (Now Filtering)
- Topic : Time Series [Filter]
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Registered: 2007-11-06 20:18 |
7. 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. |
- Development Status : 3 - Alpha [Filter]
- Intended Audience : Developers [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Robust Statistics (Now Filtering)
- Topic : Time Series [Filter]
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Registered: 2007-11-06 20:07 |