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 <qiy25@pitt.edu>
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) <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)).
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: 2026-01-06 14:29:06 UTC; qingyin
Author: Qing Yin [aut, cre],
  Shyamal Das Peddada [aut],
  Jennifer Joan Adibi [aut],
  Jong-Hyeon Jeong [aut]
Repository: CRAN
Date/Publication: 2026-01-13 18:30:07 UTC
Built: R 4.6.0; ; 2026-04-26 15:18:54 UTC; unix
