bmem
Mediation Analysis with Missing Data Using Bootstrap
Four methods for mediation analysis with missing data: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap confidence intervals for mediation effects are obtained. The robust method is also implemented for TS-ML. Since version 1.4, bmem adds the capability to conduct power analysis for mediation models. Details about the methods used can be found in these articles. Zhang and Wang (2003) <doi:10.1007/s11336-012-9301-5>. Zhang (2014) <doi:10.3758/s13428-013-0424-0>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2 |
rolling linux/jammy R-4.5 | bmem_2.2.tar.gz |
948.0 KiB |
2.2 |
rolling linux/noble R-4.5 | bmem_2.2.tar.gz |
949.7 KiB |
2.2 |
rolling source/ R- | bmem_2.2.tar.gz |
795.5 KiB |
2.2 |
latest linux/jammy R-4.5 | bmem_2.2.tar.gz |
948.0 KiB |
2.2 |
latest linux/noble R-4.5 | bmem_2.2.tar.gz |
949.7 KiB |
2.2 |
latest source/ R- | bmem_2.2.tar.gz |
795.5 KiB |
2.2 |
2026-04-26 source/ R- | bmem_2.2.tar.gz |
795.5 KiB |
2.2 |
2026-04-23 source/ R- | bmem_2.2.tar.gz |
795.5 KiB |
2.2 |
2026-04-09 windows/windows R-4.5 | bmem_2.2.zip |
953.0 KiB |
2.1 |
2025-04-20 source/ R- | bmem_2.1.tar.gz |
794.0 KiB |