The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: not available, r-release: SRMERS_0.1.1.zip, r-oldrel: not available |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=SRMERS to link to this page.
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.
Health stats visible at Monitor.