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11 projects in result set.
0. 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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Registered: 2008-09-16 15:34 |
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. Structural equation modeling - Several SEM related packages are developed for conducting structural equation modeling.
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- Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
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Registered: 2011-09-26 14:13 |
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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- Development Status : 4 - Beta [Filter]
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Registered: 2012-05-15 16:23 |
4. Multiv. Outlier Detection and Imputation - Multivariate outlier detection and imputation in incomplete survey data. Included algorithms are BACON-EEM, Transformed Rank Correlations, ER-algorithm, GIMCD, Epidemic Algorithm (detection and imputation), Winsorized Imputation, POEM.
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Registered: 2013-07-04 09:41 |
5. Ranking Methods for Factorial Designs - Ranking methods for the analysis of factorial experiments with independent observations.
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Registered: 2016-04-28 05:13 |
6. Robust Horvitz-Thompson Estimation - "rhte": Robust Horvitz-Thompson estimation. The package offers robust methods in order to estimate the mean, total, and ratio (among others) for complex survey samples.
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Registered: 2012-01-12 12:49 |
7. Generalized iLUCK-models - Interval/imprecise probability models allowing non-stochastic uncertainty in Bayesian analysis by defining sets of conjugate priors such that the set of posteriors, obtained by updating each prior in the set by Bayes' rule, is still easy to handle.
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Registered: 2010-03-06 00:28 |
8. 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 |
9. 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 |
10. 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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Registered: 2007-11-06 20:07 |
