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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | miapack_0.1.0.tar.gz |
111.9 KiB |
0.1.0 |
rolling linux/noble R-4.5 | miapack_0.1.0.tar.gz |
111.8 KiB |
0.1.0 |
rolling source/ R- | miapack_0.1.0.tar.gz |
76.9 KiB |
0.1.0 |
latest linux/jammy R-4.5 | miapack_0.1.0.tar.gz |
111.9 KiB |
0.1.0 |
latest linux/noble R-4.5 | miapack_0.1.0.tar.gz |
111.8 KiB |
0.1.0 |
latest source/ R- | miapack_0.1.0.tar.gz |
76.9 KiB |
0.1.0 |
2026-04-26 source/ R- | miapack_0.1.0.tar.gz |
76.9 KiB |
0.1.0 |
2026-04-23 source/ R- | miapack_0.1.0.tar.gz |
76.9 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | miapack_0.1.0.zip |
114.8 KiB |