gerbil: 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. See Robbins (2021) <arXiv:2008.02243>.

Package details

AuthorMichael Robbins [aut, cre], Max Griswold [ctb], Pedro Nascimento de Lima [ctb]
MaintainerMichael Robbins <>
Package repositoryView on CRAN
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gerbil documentation built on Jan. 12, 2023, 5:10 p.m.