geex
An API for M-Estimation
Provides a general, flexible framework for estimating parameters and empirical sandwich variance estimator from a set of unbiased estimating equations (i.e., M-estimation in the vein of Stefanski & Boos (2002) <doi:10.1198/000313002753631330>). All examples from Stefanski & Boos (2002) are published in the corresponding Journal of Statistical Software paper "The Calculus of M-Estimation in R with geex" by Saul & Hudgens (2020) <doi:10.18637/jss.v092.i02>. Also provides an API to compute finite-sample variance corrections.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
rolling linux/jammy R-4.5 | geex_1.1.1.tar.gz |
863.3 KiB |
1.1.1 |
rolling linux/noble R-4.5 | geex_1.1.1.tar.gz |
863.6 KiB |
1.1.1 |
rolling source/ R- | geex_1.1.1.tar.gz |
627.3 KiB |
1.1.1 |
latest linux/noble R-4.5 | geex_1.1.1.tar.gz |
863.6 KiB |
1.1.1 |
latest source/ R- | geex_1.1.1.tar.gz |
627.3 KiB |
1.1.1 |
latest linux/jammy R-4.5 | geex_1.1.1.tar.gz |
863.3 KiB |
1.1.1 |
2026-04-26 source/ R- | geex_1.1.1.tar.gz |
627.3 KiB |
1.1.1 |
2026-04-23 source/ R- | geex_1.1.1.tar.gz |
627.3 KiB |
1.1.1 |
2026-04-09 windows/windows R-4.5 | geex_1.1.1.zip |
893.8 KiB |
1.1.1 |
2025-04-20 source/ R- | geex_1.1.1.tar.gz |
627.3 KiB |