Type: Package
Package: gerbil
Title: Generalized Efficient Regression-Based Imputation with Latent
        Processes
Version: 0.1.5
Authors@R: 
    c(person(given = "Michael",
             family = "Robbins",
             role = c("aut", "cre"),
             email = "mrobbins@rand.org"),
      person(given = "Max",
             family = "Griswold",
             role = "ctb",
             email = "griswold@rand.org"),
      person(given = "Pedro",
             family = "Nascimento de Lima",
             role = "ctb",
             email = "plima@rand.org"))
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.
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: 2021-03-22 18:07:27 UTC; mrobbins
Repository: CRAN
Date/Publication: 2021-03-23 09:00:08 UTC
Built: R 4.0.5; ; 2022-04-21 07:30:37 UTC; windows
