Package: deepImp
Type: Package
Title: Imputation with Deep Learning Methods
Version: 1.2.0
Authors@R: c(
  person("Matthias", "Templ", email = "matthias.templ@gmail.com",
         role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8638-5276")))
Description: Imputation of mixed-type and compositional data with neural networks.
    Each network head is a generalised linear model plus a neural-network correction.
    Missing values are imputed by point predictions or, for multiple imputation, by
    predictive draws on bootstrap fits, with pooling through 'mice'. The architecture
    (number and size of hidden layers, dropout, activation, optimiser) and the
    training settings are user-configurable. See Templ (2021)
    <doi:10.1007/978-3-030-71175-7>.
License: GPL-2
URL: https://github.com/matthias-da/deepImp
BugReports: https://github.com/matthias-da/deepImp/issues
Encoding: UTF-8
LazyData: TRUE
ByteCompile: TRUE
Depends: R (>= 4.1)
Imports: torch, nnet, VIM, stats, utils, graphics
Suggests: future, future.apply, keras3, knitr, mice, rmarkdown,
        robCompositions, testthat (>= 3.0.0)
RoxygenNote: 7.3.3
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-11-14 11:40:00 UTC; matthias
Author: Matthias Templ [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8638-5276>)
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-14 13:50:02 UTC
