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Topic > Multivariate Statistics > Missing Data |
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4 projects in result set.
0. 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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Activity Percentile: 0.00 Registered: 2010-07-28 13:20 |
1. addendum - Utility functions that should have been in R: easy glmnet, pretty graphing and swift debugging and profiling. | |
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Activity Percentile: 0.00 Registered: 2011-06-17 13:35 |
2. 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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Activity Percentile: 0.00 Registered: 2011-05-18 08:28 |
3. 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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Activity Percentile: 0.00 Registered: 2013-07-04 09:41 |