unvs.med: A Universal Approach for Causal Mediation Analysis
This program realizes a universal estimation approach that accommodates
multi-category variables and effect scales, making up for the deficiencies
of the existing approaches when dealing with non-binary exposures and
complex models. The estimation via bootstrapping can simultaneously provide results of
causal mediation on risk difference (RD), odds ratio (OR) and risk ratio (RR) scales with tests of the effects' difference.
The estimation is also applicable to many other settings, e.g., moderated mediation, inconsistent covariates,
panel data, etc. The high flexibility and compatibility
make it possible to apply for any type of model, greatly meeting the needs of
current empirical researches.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5.0), data.table, parallel, snowfall |
| Suggests: |
fixest, lme4, MASS, ordinal, pglm |
| Published: |
2025-06-04 |
| DOI: |
10.32614/CRAN.package.unvs.med |
| Author: |
Tianbao Zhou [aut, cre],
Xinghao Li [aut],
Lin Liu* [aut] |
| Maintainer: |
Tianbao Zhou <michaelzhou at buaa.edu.cn> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
unvs.med results |
Documentation:
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