Software Map
Project Tree
Now limiting view to projects in the following categories:
Topic :: Robust Statistics [Remove This Filter]
Natural Language :: English [Remove This Filter]
Topic > Regression Models |
Browse By:
|
6 projects in result set.
0. Probabilistic Index Models - Developing an R-package for a new class of regression models: Probabilistic Index Models. |
- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
- Operating System : OS Independent [Filter]
- Programming Language : R [Filter]
- Topic : Biostatistics & Medical Statistics [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics (Now Filtering)
|
Activity Percentile: 0.00
Registered: 2011-06-09 14:01 |
1. 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. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
- Natural Language : German [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : C/C\+\+ [Filter]
- Programming Language : Fortran [Filter]
- Programming Language : R [Filter]
- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics (Now Filtering)
|
Activity Percentile: 0.00
Registered: 2007-08-17 15:17 |
2. 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 (Now Filtering)
- 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 (Now Filtering)
|
Activity Percentile: 0.00
Registered: 2012-05-15 16:23 |
3. sandwich: Robust Covariance Estimation - An object-oriented implementation of model-robust covariances and standard error estimators for cross-sectional, time series, and longitudinal data. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English (Now Filtering)
- Operating System : OS Independent [Filter]
- Programming Language : R [Filter]
- Topic : Econometrics [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics (Now Filtering)
|
Activity Percentile: 0.00
Registered: 2016-09-21 08:36 |
4. RobASt - Robust Asymptotic Statistics - The project RobASt aims for the implementation of R packages for the computation of optimally robust estimators and tests as well as the necessary infrastructure (mainly S4 classes and methods) and diagnostics; cf. M. Kohl (2005). |
- Development Status : 4 - Beta [Filter]
- License : OSI Approved : GNU Lesser General Public License (LGPL) [Filter]
- Natural Language : English (Now Filtering)
- Natural Language : German [Filter]
- Operating System : OS Independent [Filter]
- Programming Language : R [Filter]
- Topic : Multivariate Statistics : Modelling Non-Gaussian Data [Filter]
- Topic : Regression Models [Filter]
- Topic : Robust Statistics (Now Filtering)
|
Activity Percentile: 0.00
Registered: 2008-01-15 05:11 |
5. 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 (Now Filtering)
- 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 (Now Filtering)
|
Activity Percentile: 0.00
Registered: 2013-11-14 14:32 |