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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 |
| Reference manual: | unvs.med.pdf |
| Package source: | unvs.med_1.0.0.tar.gz |
| Windows binaries: | r-devel: unvs.med_1.0.0.zip, r-release: unvs.med_1.0.0.zip, r-oldrel: unvs.med_1.0.0.zip |
| macOS binaries: | r-release (arm64): unvs.med_1.0.0.tgz, r-oldrel (arm64): unvs.med_1.0.0.tgz, r-release (x86_64): unvs.med_1.0.0.tgz, r-oldrel (x86_64): unvs.med_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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