Package: miapack 0.2.0

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.

Authors:Sean McGrath [aut, cre], Shaun Seaman [aut], Willi Zhang [aut], Ilya Shpitser [aut], Maya Mathur [aut]

miapack_0.2.0.tar.gz
miapack_0.2.0.zip(r-4.7-any)miapack_0.2.0.zip(r-4.6-any)miapack_0.2.0.zip(r-4.5-any)
miapack_0.2.0.tgz(r-4.6-any)miapack_0.2.0.tgz(r-4.5-any)
miapack_0.2.0.tar.gz(r-4.7-any)miapack_0.2.0.tar.gz(r-4.6-any)
miapack_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
miapack/json (API)

# Install 'miapack' in R:
install.packages('miapack', repos = c('https://stmcg.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stmcg/miapack/issues

Datasets:

On CRAN:

Conda:

3.48 score 2 scripts 232 downloads 3 exports 13 dependencies

Last updated from:94dfbd234b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK171
source / vignettesOK156
linux-releaseOK118
macos-releaseOK180
macos-oldrelOK195
windows-develOK118
windows-releaseOK68
windows-oldrelOK77
wasm-releaseOK103

Exports:get_CImia_icemia_nice

Dependencies:bootclicrayongluehmslifecyclennetpkgconfigprettyunitsprogressR6rlangvctrs