Type: Package
Package: gerbil
Title: Generalized Efficient Regression-Based Imputation with Latent
        Processes
Version: 0.1.9
Authors@R: c(
    person("Michael", "Robbins", , "mrobbins@rand.org", role = c("aut", "cre")),
    person("Max", "Griswold", , "griswold@rand.org", role = "ctb"),
    person("Pedro", "Nascimento de Lima", , "plima@rand.org", role = "ctb")
  )
Author: Michael Robbins [aut, cre],
  Max Griswold [ctb],
  Pedro Nascimento de Lima [ctb]
Maintainer: Michael Robbins <mrobbins@rand.org>
Description: 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>.
License: GPL-2
Depends: R (>= 2.10)
Imports: base, DescTools, graphics, grDevices, lattice, MASS, mvtnorm,
        openxlsx, parallel, pbapply, stats, truncnorm, utils
Suggests: dplyr, knitr, mice, rmarkdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.1.1
Packaged: 2023-01-11 18:35:14 UTC; mrobbins
Repository: CRAN
Date/Publication: 2023-01-12 11:20:02 UTC
Built: R 4.6.0; ; 2026-04-30 11:43:44 UTC; unix
