Mediation Analysis with Missing Data and Non-Normal Data
Overview
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).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 50%3 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 50%
Downloads
Dependencies
Installing bmemLavaan adds 24 packages (13 with compiled code, 18 MB of source tarballs). Heaviest: lme4 4.1 MB, nloptr 2.1 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.7Latest
- unarchivedReturned to CRAN2026-02-03
- archivedRemoved from CRAN2026-01-16issues were not addressed in time
- 0.62025-09-03 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.52022-05-28 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.42022-04-20
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2022-04-20
- Total releases
- 4 / 4 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 0.4 KB / 1 file
- Download size
- 381 KB
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