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 proposed by Mathur et al. (2026) <doi:10.13140/RG.2.2.30750.19524>. The package supports the iterative conditional expectation estimator and the noniterative conditional expectation estimator.

Version: 0.2.0
Depends: R (≥ 2.10)
Imports: boot, nnet, progress
Suggests: testthat (≥ 3.0.0)
Published: 2026-08-23
DOI: 10.32614/CRAN.package.miapack
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, NEWS
CRAN checks: miapack results

Documentation:

Reference manual: miapack.html , miapack.pdf

Downloads:

Package source: miapack_0.2.0.tar.gz
Windows binaries: r-devel: miapack_0.1.0.zip, r-release: miapack_0.1.0.zip, r-oldrel: miapack_0.2.0.zip
macOS binaries: r-release (arm64): miapack_0.2.0.tgz, r-oldrel (arm64): miapack_0.2.0.tgz, r-release (x86_64): miapack_0.2.0.tgz, r-oldrel (x86_64): miapack_0.2.0.tgz
Old sources: miapack archive

Linking:

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