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Programming Language :: R [Remove This Filter]
4 projects in result set.
0. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling.
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- Development Status : 5 - Production/Stable [Filter]
- Environment : Other Environment [Filter]
- Intended Audience : Developers [Filter]
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- Programming Language : R (Now Filtering)
- 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 |
1. missMDA - Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA) or a multiple correspondence analysis (MCA) model; Perform multiple imputation with and in PCA
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- Development Status : 4 - Beta [Filter]
- Intended Audience : Developers [Filter]
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- Intended Audience : Other Audience [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : R (Now Filtering)
- Topic : Multivariate Statistics : Missing Data [Filter]
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Registered: 2010-07-28 13:20 |
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 [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Programming Language : R (Now Filtering)
- Topic : Multivariate Statistics : Missing Data [Filter]
- Topic : Robust Statistics [Filter]
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Registered: 2013-07-04 09:41 |
3. 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 [Filter]
- Intended Audience : Developers [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Natural Language : German [Filter]
- Programming Language : R (Now Filtering)
- 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 |
