Software Map
Project Tree
Now limiting view to projects in the following categories:
Intended Audience :: Developers [Remove This Filter]
Intended Audience :: End Users/Desktop [Remove This Filter]
Topic > Robust Statistics |
Browse By:
|
11 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 (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Robust Statistics [Filter]
- Topic : Time Series [Filter]
|
Activity Percentile: 0.00
Registered: 2014-11-11 15:14 |
1. 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. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : Microsoft : Windows [Filter]
- Programming Language : R [Filter]
- Topic : Other/Nonlisted Topic [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2012-01-12 12:49 |
2. 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. |
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : R [Filter]
- Topic : Multivariate Statistics : Missing Data [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2013-07-04 09:41 |
3. bootBCa - Function BCa finds confidence intervals using Efron's nonparametric bias-corrected and accelerated (BCa) bootstrap method. It supports adaptive determination of the number of bootstrap replications and requires less memory than other implementations. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : BSD License [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2014-07-22 16:16 |
4. 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 (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- 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\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Econometrics : Linear Regression Models [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2013-11-14 14:32 |
5. yags: modular GEE solver - yags is a modular solver for generalized estimating equations. |
- Development Status : 3 - Alpha [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- 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\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Multivariate Statistics : Linear Models [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2009-01-04 12:17 |
6. 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 (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Multivariate Statistics [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2008-09-16 15:34 |
7. Dependency modeling toolbox - Model-based tools for the discovery and analysis of statistical dependencies between data sources. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
- Environment : Other Environment [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- Intended Audience : Other Audience [Filter]
- License : OSI Approved : BSD License [Filter]
- Natural Language : English [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Bayesian Methods [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2010-04-08 11:22 |
8. 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 (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- 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\+\+ [Filter]
- Programming Language : R [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2012-05-15 16:23 |
9. Structural equation modeling - Several SEM related packages are developed for conducting structural equation modeling. |
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- Intended Audience : Other Audience [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 : R [Filter]
- Topic : Multivariate Statistics : Latent Variable Approaches [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2011-09-26 14:13 |
10. 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. |
- Development Status : 2 - Pre-Alpha [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop (Now Filtering)
- Intended Audience : Other Audience [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Programming Language : R [Filter]
- Topic : Bayesian Statistics [Filter]
- Topic : Other/Nonlisted Topic [Filter]
- Topic : Robust Statistics [Filter]
|
Activity Percentile: 0.00
Registered: 2010-03-06 00:28 |