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3 projects in result set.
MAMI - MAMI: An R-package which performs model selection/averaging on multiply imputed datasets and combines the resulting estimates. The package also provides access to less frequently used model averaging techniques and offers integrated bootstrap estimation.
Tags: imputation, missing data, model averaging, model selection, multiple imputation
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2015-11-02 12:40

Statistical Data Preparation Indicators - During the statistical data preparation process stages of the data are archived (at least raw and the final data). Indicators on missing values, imputations and their impact help to judge the effect of the process and the quality of the final data.
Tags: missing values, imputation, flags, data quality, process quality

Activity Percentile: 0
Activity Ranking: 0
Registered: 2017-01-21 14:39

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.
Tags: imputation, random forest, missing, missing data, missing values, missingness, out-of-bag, Bioinformatics, Classification, Multivariate Regression, Multivariate Techniques, R

Activity Percentile: 0
Activity Ranking: 0
Registered: 2011-05-18 08:28

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