Package: SRMERS Type: Package Title: Semi-Parametric Shape-Restricted Fixed/Mixed Effect(s) Regression Spline Version: 0.1.1 Authors@R: c(person("Qing", "Yin", email= "qiy25@pitt.edu", role = c("aut", "cre")), person("Shyamal Das", "Peddada", role = "aut"), person("Jennifer Joan", "Adibi", role = "aut"), person("Jong-Hyeon", "Jeong", role = "aut")) Maintainer: Qing Yin Imports: splines2, stats, lme4, nloptr, dplyr, MASS, coneproj, Matrix 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) ); 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) ); estimate the direct and indirect effects using linear regression-based approach (VanderWeele (2015, ISBN:9780199325870)). License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Depends: R (>= 4.4.0) Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Config/testthat/edition: 3 VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-07-13 08:28:48 UTC; root Author: Qing Yin [aut, cre], Shyamal Das Peddada [aut], Jennifer Joan Adibi [aut], Jong-Hyeon Jeong [aut] Config/pak/sysreqs: cmake make Repository: https://qy2166.r-universe.dev Date/Publication: 2026-01-13 18:30:07 UTC RemoteUrl: https://github.com/cran/SRMERS RemoteRef: HEAD RemoteSha: 5dfa3a8788ba27917788c4f166279605bb198694