Package: glemb
Title: Multiple Imputation Using the General Location Model with the
        EMB Algorithm
Version: 0.1.4
Authors@R: person("Paul", "Allison", email = "allison@statisticalhorizons.com",
    role = c("aut", "cre"))
Description: Provides multiple imputation for mixed continuous and
        categorical data using the General Location Model (Olkin and
        Tate (1961) <doi:10.1214/aoms/1177705052>; Little and
        Schluchter (1985) <doi:10.1093/biomet/72.3.497>) combined with
        the Expectation-Maximization with Bootstrapping (EMB) algorithm
        of Honaker, King and Blackwell (2011)
        <doi:10.18637/jss.v045.i07>. Categorical variables are
        specified via the noms option; all other variables are treated
        as continuous. The package wraps the EM implementation in the
        'mix' package and extends it with a bootstrap wrapper to
        produce proper multiple imputations in the sense of Rubin
        (1987, ISBN:978-0-471-08705-2).
License: GPL-3
Encoding: UTF-8
LazyData: true
ByteCompile: true
Imports: mix
Suggests: mice, mitml, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
Depends: R (>= 4.0.0)
URL: https://github.com/pauldallison/glemb
BugReports: https://github.com/pauldallison/glemb/issues
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-10-15 20:42:59 UTC; root
Author: Paul Allison [aut, cre]
Maintainer: Paul Allison <allison@statisticalhorizons.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-15 19:17:03 UTC
RemoteUrl: https://github.com/cran/glemb
RemoteRef: HEAD
RemoteSha: a82755cc9150d9c1c3054b855c919b213a5ceafb