gerbil: Generalized Efficient Regression-Based Imputation with Latent Processes
Michael W. Robbins · 2021
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) .