Select the most suitable shape to describe the relationship between the exposure and the outcome among increasing, decreasing, convex, and concave shapes (Yin et al. (2021) <doi:10.1007/s13571-020-00246-7>); estimate the direct and indirect effects with prior knowledge on the relationship between the mediator and the outcome with binary exposure (Yin et al. (2024) <doi:10.1007/s13571-024-00336-w>); estimate the direct and indirect effects using linear regression-based approach (VanderWeele (2015, ISBN:9780199325870)).
| Version: | 0.1.1 |
| Depends: | R (≥ 4.4.0) |
| Imports: | splines2, stats, lme4, nloptr, dplyr, MASS, coneproj, Matrix |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-01-13 |
| DOI: | 10.32614/CRAN.package.SRMERS |
| Author: | Qing Yin [aut, cre], Shyamal Das Peddada [aut], Jennifer Joan Adibi [aut], Jong-Hyeon Jeong [aut] |
| Maintainer: | Qing Yin <qiy25 at pitt.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | SRMERS results |
| Reference manual: | SRMERS.html , SRMERS.pdf |
| Vignettes: |
SRMERS-intro (source, R code) |
| Package source: | SRMERS_0.1.1.tar.gz |
| Windows binaries: | r-devel: SRMERS_0.1.1.zip, r-release: SRMERS_0.1.1.zip, r-oldrel: SRMERS_0.1.1.zip |
| macOS binaries: | r-release (arm64): SRMERS_0.1.1.tgz, r-oldrel (arm64): SRMERS_0.1.1.tgz, r-release (x86_64): SRMERS_0.1.1.tgz, r-oldrel (x86_64): SRMERS_0.1.1.tgz |
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