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Topic :: Robust Statistics [Remove This Filter]
Programming Language :: C/C++ [Remove This Filter]
Development Status :: 4 - Beta [Remove This Filter]
2 projects in result set.
0. 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 (Now Filtering)
- 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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Activity Percentile: 0.00
Registered: 2012-05-15 16:23 |
1. 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 (Now Filtering)
- 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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Activity Percentile: 0.00
Registered: 2013-11-14 14:32 |