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: 2026-10-10 14:07:02 UTC; root
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
        libx11-dev zlib1g-dev
Repository: https://michaelwrobbins.r-universe.dev
Date/Publication: 2023-01-12 10:20:02 UTC
RemoteUrl: https://github.com/cran/gerbil
RemoteRef: HEAD
RemoteSha: 2152129d08c21f5d8d3aa3e945fe459a754aad25