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bmemLavaan

Mediation Analysis with Missing Data and Non-Normal Data

Methods for mediation analysis with missing data and non-normal data are implemented. For missing data, four methods are available: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included to handle missing data. For handling non-normal data, bootstrap and two-stage robust methods can be used. Technical details of the methods can be found in Zhang and Wang (2013, <doi:10.1007/s11336-012-9301-5>), Zhang (2014, <doi:10.3758/s13428-013-0424-0>), and Yuan and Zhang (2012, <doi:10.1007/s11336-012-9282-4>).

Versions across snapshots

VersionRepositoryFileSize
0.7 rolling linux/jammy R-4.5 bmemLavaan_0.7.tar.gz 504.9 KiB
0.7 rolling linux/noble R-4.5 bmemLavaan_0.7.tar.gz 504.8 KiB
0.7 rolling source/ R- bmemLavaan_0.7.tar.gz 382.5 KiB
0.7 latest linux/jammy R-4.5 bmemLavaan_0.7.tar.gz 504.9 KiB
0.7 latest linux/noble R-4.5 bmemLavaan_0.7.tar.gz 504.8 KiB
0.7 latest source/ R- bmemLavaan_0.7.tar.gz 382.5 KiB
0.7 2026-04-26 source/ R- bmemLavaan_0.7.tar.gz 382.5 KiB
0.7 2026-04-23 source/ R- bmemLavaan_0.7.tar.gz 382.5 KiB
0.7 2026-04-09 windows/windows R-4.5 bmemLavaan_0.7.zip 508.7 KiB
0.5 2025-04-20 source/ R- bmemLavaan_0.5.tar.gz 330.5 KiB

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