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.
|Author||Michael Robbins [aut, cre], Max Griswold [ctb], Pedro Nascimento de Lima [ctb]|
|Maintainer||Michael Robbins <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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