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miapack  

Marginalization over Incomplete Auxiliaries
View on CRAN: Click here


Download and install miapack package within the R console
Install from CRAN:
install.packages("miapack")

Install from Github:
library("remotes")
install_github("cran/miapack")

Install by package version:
library("remotes")
install_version("miapack", "0.2.0")



Attach the package and use:
library("miapack")
Maintained by
Sean McGrath
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-25
Latest Update: 2026-02-25
Description:
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.
How to cite:
Sean McGrath (2026). miapack: Marginalization over Incomplete Auxiliaries. R package version 0.2.0, https://cran.r-project.org/web/packages/miapack. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-08-23 12:30), 0.1.0 (2026-02-25 11:50)
Other packages that cited miapack R package
View miapack citation profile
Other R packages that miapack depends, imports, suggests or enhances
Complete documentation for miapack
Functions, R codes and Examples using the miapack R package
Full miapack package functions and examples
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