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SRMERS  

Semi-Parametric Shape-Restricted Fixed/Mixed Effect(s) Regression Spline
View on CRAN: Click here


Download and install SRMERS package within the R console
Install from CRAN:
install.packages("SRMERS")

Install from Github:
library("remotes")
install_github("cran/SRMERS")

Install by package version:
library("remotes")
install_version("SRMERS", "0.1.1")



Attach the package and use:
library("SRMERS")
Maintained by
Qing Yin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-13
Latest Update: 2026-01-13
Description:
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)).
How to cite:
Qing Yin (2026). SRMERS: Semi-Parametric Shape-Restricted Fixed/Mixed Effect(s) Regression Spline. R package version 0.1.1, https://cran.r-project.org/web/packages/SRMERS. Accessed 12 Sep. 2026.
Previous versions and publish date:
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Complete documentation for SRMERS
Functions, R codes and Examples using the SRMERS R package
Full SRMERS package functions and examples
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