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Topic :: Multivariate Statistics :: Linear Models [Remove This Filter]
Intended Audience :: Developers [Remove This Filter]
2 projects in result set.
0. mboost - Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
For an up to date version see https://github.com/boost-R/mboost
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- Development Status : 5 - Production/Stable [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : R [Filter]
- Topic : Machine Learning : Boosting [Filter]
- Topic : Machine Learning : Regularized and Shrinkage Methods [Filter]
- Topic : Multivariate Statistics : Linear Models (Now Filtering)
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Registered: 2007-07-07 15:13 |
1. lsmeans - Calculate adjusted means and standard errors for main factors and interaction terms of lm, gls, lme and lme4 models.
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- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : Developers (Now Filtering)
- Intended Audience : End Users/Desktop [Filter]
- License : Public Domain [Filter]
- Natural Language : English [Filter]
- Operating System : Microsoft : Windows : Windows NT/2000/XP [Filter]
- Operating System : Microsoft : Windows : Windows Vista [Filter]
- Operating System : POSIX : Linux [Filter]
- Programming Language : R [Filter]
- Topic : Design of Experiments & Analysis of Experimental Data [Filter]
- Topic : Genetics : Multiple Testing [Filter]
- Topic : Multivariate Statistics : Linear Models (Now Filtering)
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Registered: 2009-09-10 11:49 |
