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.


Reference manual

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0.1.5 by Michael Robbins, 10 months ago

Browse source code at

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