brlrmr
Bias Reduction with Missing Binary Response
Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.7 |
rolling linux/jammy R-4.5 | brlrmr_0.1.7.tar.gz |
66.3 KiB |
0.1.7 |
rolling linux/noble R-4.5 | brlrmr_0.1.7.tar.gz |
66.3 KiB |
0.1.7 |
rolling source/ R- | brlrmr_0.1.7.tar.gz |
14.2 KiB |
0.1.7 |
latest linux/jammy R-4.5 | brlrmr_0.1.7.tar.gz |
66.3 KiB |
0.1.7 |
latest linux/noble R-4.5 | brlrmr_0.1.7.tar.gz |
66.3 KiB |
0.1.7 |
latest source/ R- | brlrmr_0.1.7.tar.gz |
14.2 KiB |
0.1.7 |
2026-04-26 source/ R- | brlrmr_0.1.7.tar.gz |
14.2 KiB |
0.1.7 |
2026-04-23 source/ R- | brlrmr_0.1.7.tar.gz |
14.2 KiB |
0.1.7 |
2026-04-09 windows/windows R-4.5 | brlrmr_0.1.7.zip |
69.5 KiB |
0.1.7 |
2025-04-20 source/ R- | brlrmr_0.1.7.tar.gz |
14.2 KiB |