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 |
| Author: | Sean McGrath |
| 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 |
| Reference manual: | miapack.html , miapack.pdf |
| Package source: | miapack_0.1.0.tar.gz |
| Windows binaries: | r-devel: miapack_0.1.0.zip, r-release: miapack_0.1.0.zip, r-oldrel: miapack_0.1.0.zip |
| 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 |
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