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miapack: Marginalization over Incomplete Auxiliaries

Implements methods to estimate conditional outcome means in settings with missingness-not-at-random and incomplete auxiliary variables. Specifically, this package implements the marginalization over incomplete auxiliaries (MIA) method. The package supports continuous and binary outcomes, and supports auxiliary variables that are normal, binary, and categorical.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: boot, nnet, progress
Suggests: testthat (≥ 3.0.0)
Published: 2026-02-25
DOI: 10.32614/CRAN.package.miapack (may not be active yet)
Author: Sean McGrath ORCID iD [aut, cre], Shaun Seaman ORCID iD [aut], Willi Zhang ORCID iD [aut], Ilya Shpitser ORCID iD [aut], Maya Mathur ORCID iD [aut]
Maintainer: Sean McGrath <sean.mcgrath514 at gmail.com>
BugReports: https://github.com/stmcg/miapack/issues
License: GPL (≥ 3)
URL: https://github.com/stmcg/miapack
NeedsCompilation: no
Materials: README
CRAN checks: miapack results

Documentation:

Reference manual: miapack.html , miapack.pdf

Downloads:

Package source: miapack_0.1.0.tar.gz
Windows binaries: r-devel: miapack_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): miapack_0.1.0.tgz, r-oldrel (arm64): miapack_0.1.0.tgz, r-release (x86_64): miapack_0.1.0.tgz, r-oldrel (x86_64): miapack_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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