A Random-Forest-Based Approach for Imputing Clustered Incomplete Data

It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.


Reference manual

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install.packages("MixRF")

1.0 by Jiebiao Wang, 11 years ago


https://github.com/randel/MixRF


Report a bug at https://github.com/randel/MixRF/issues


Browse source code at https://github.com/cran/MixRF


Authors: Jiebiao Wang and Lin S. Chen


Documentation:   PDF Manual  


GPL license


Depends on doParallel, randomForest, lme4, foreach


See at CRAN