missForest
Nonparametric Missing Value Imputation using Random Forest
The function 'missForest' in this package is used to impute missing values particularly in the case of mixed-type data. It uses a random forest trained on the observed values of a data matrix to predict the missing values. It can be used to impute continuous and/or categorical data including complex interactions and non-linear relations. It yields an out-of-bag (OOB) imputation error estimate without the need of a test set or elaborate cross-validation. It can be run in parallel to save computation time.
- Version1.5
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- missForest citation info
- Last release04/14/2022
Documentation
Team
Daniel J. Stekhoven
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- Imports5 packages
- Suggests1 package
- Reverse Depends2 packages
- Reverse Imports13 packages
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