SRMERS: Semi-Parametric Shape-Restricted Fixed/Mixed Effect(s)
Regression Spline
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 (may not be active yet) |
| 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 |
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