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) doi:10.48550/arXiv.2008.02243.
- Version0.1.9
- R version≥ 2.10
- LicenseGPL-2
- Needs compilation?No
- Last release01/12/2023
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Team
Michael Robbins
Pedro Nascimento de Lima
Show author detailsRolesContributorMax Griswold
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- Imports7 packages
- Suggests5 packages