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)).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | SRMERS_0.1.1.tar.gz |
233.3 KiB |
0.1.1 |
rolling linux/noble R-4.5 | SRMERS_0.1.1.tar.gz |
233.2 KiB |
0.1.1 |
rolling source/ R- | SRMERS_0.1.1.tar.gz |
76.1 KiB |
0.1.1 |
latest linux/jammy R-4.5 | SRMERS_0.1.1.tar.gz |
233.3 KiB |
0.1.1 |
latest linux/noble R-4.5 | SRMERS_0.1.1.tar.gz |
233.2 KiB |
0.1.1 |
latest source/ R- | SRMERS_0.1.1.tar.gz |
76.1 KiB |
0.1.1 |
2026-04-26 source/ R- | SRMERS_0.1.1.tar.gz |
76.1 KiB |
0.1.1 |
2026-04-23 source/ R- | SRMERS_0.1.1.tar.gz |
76.1 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | SRMERS_0.1.1.zip |
237.9 KiB |