imputeR-package: imputeR-package description
In imputeR: A General Multivariate Imputation Framework
Description
The imputeR package offers a General Multivariate Imputation Framework
Details
The imputeR package is a Multivariate Expectation-Maximization (EM) based imputation framework that offers several
different algorithms. These include regularisation methods like Lasso and Ridge regression, tree-based models and dimensionality
reduction methods like PCA and PLS.
Author(s)
Steffen Moritz, Lingbing Feng, Gen Nowak, Alan. H. Welsh, Terry. J. O'Neill
imputeR documentation built on Jan. 21, 2020, 1:06 a.m.
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Description
The imputeR package offers a General Multivariate Imputation Framework
Details
The imputeR package is a Multivariate Expectation-Maximization (EM) based imputation framework that offers several different algorithms. These include regularisation methods like Lasso and Ridge regression, tree-based models and dimensionality reduction methods like PCA and PLS.
Author(s)
Steffen Moritz, Lingbing Feng, Gen Nowak, Alan. H. Welsh, Terry. J. O'Neill
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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