Package: rMIDAS2
Title: Multiple Imputation with 'MIDAS2' Denoising Autoencoders
Version: 0.1.1
Authors@R: c(
    person("Thomas", "Robinson", email = "t.robinson7@lse.ac.uk",
           role = c("aut", "cre")),
    person("Ranjit", "Lall", email = "ranjit.lall@politics.ox.ac.uk",
           role = "aut")
    )
Description: Fits 'MIDAS' denoising autoencoder models for multiple
    imputation of missing data, generates multiply-imputed datasets,
    computes imputation means, and runs Rubin's rules regression analysis.
    Wraps the 'MIDAS2' 'Python' engine via a local 'FastAPI' server over
    'HTTP', so no 'reticulate' dependency is needed at runtime. Methods are
    described in Lall and Robinson (2022) <doi:10.1017/pan.2020.49> and
    Lall and Robinson (2023) <doi:10.18637/jss.v107.i09>.
License: MIT + file LICENSE
URL: https://github.com/MIDASverse/MIDAS2
BugReports: https://github.com/MIDASverse/MIDAS2/issues
Depends: R (>= 4.1.0)
Encoding: UTF-8
RoxygenNote: 7.3.3
SystemRequirements: Python (>= 3.9) with the 'midasverse-midas-api'
        package
Imports: curl, httr2 (>= 1.0.0), processx (>= 3.8.0), rlang (>= 1.1.0)
Suggests: arrow, jsonlite, reticulate, testthat (>= 3.0.0), knitr,
        rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-03-08 10:22:49 UTC; t.robinson7
Author: Thomas Robinson [aut, cre],
  Ranjit Lall [aut]
Maintainer: Thomas Robinson <t.robinson7@lse.ac.uk>
Repository: CRAN
Date/Publication: 2026-03-12 08:30:08 UTC
Built: R 4.6.0; ; 2026-04-25 17:56:36 UTC; unix
