Generalized Efficient Regression-Based Imputation with Latent Processes

Implements a new multiple imputation method that draws imputations from a latent joint multivariate normal model which underpins generally structured data. This model is constructed using a sequence of flexible conditional linear models that enables the resulting procedure to be efficiently implemented on high dimensional datasets in practice.


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install.packages("gerbil")

0.1.5 by Michael Robbins, 7 months ago


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


Authors: Michael Robbins [aut, cre] , Max Griswold [ctb] , Pedro Nascimento de Lima [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports base, DescTools, graphics, grDevices, lattice, MASS, mvtnorm, openxlsx, parallel, pbapply, stats, truncnorm, utils

Suggests dplyr, knitr, mice, rmarkdown, testthat


See at CRAN