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3 projects in result set.
0. missForest - The missForest package enables the user to perform straightforward missing value imputation on basically any kind of data. Additionally, the algorithm supplies the user with an out-of-bag imputation error estimate.
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- Development Status : 5 - Production/Stable (Now Filtering)
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Topic : Bioinformatics [Filter]
- Topic : Machine Learning : Random Forests [Filter]
- Topic : Multivariate Statistics : Missing Data [Filter]
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Registered: 2011-05-18 08:28 |
1. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling.
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- Topic : Machine Learning : Model Selection and Validation [Filter]
- Topic : Multivariate Statistics : Missing Data [Filter]
- Topic : Regression Models [Filter]
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Registered: 2011-06-17 13:35 |
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.
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- Development Status : 5 - Production/Stable (Now Filtering)
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- License : OSI Approved : GNU General Public License (GPL) (Now Filtering)
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- Topic : Multivariate Statistics : Missing Data [Filter]
- Topic : Robust Statistics [Filter]
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Registered: 2013-07-04 09:41 |
