Package: SRMERS 0.1.1

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)).

Authors:Qing Yin [aut, cre], Shyamal Das Peddada [aut], Jennifer Joan Adibi [aut], Jong-Hyeon Jeong [aut]

SRMERS_0.1.1.tar.gz
SRMERS_0.1.1.zip(r-4.7-any)SRMERS_0.1.1.zip(r-4.6-any)SRMERS_0.1.1.zip(r-4.5-any)
SRMERS_0.1.1.tgz(r-4.6-any)SRMERS_0.1.1.tgz(r-4.5-any)
SRMERS_0.1.1.tar.gz(r-4.7-any)SRMERS_0.1.1.tar.gz(r-4.6-any)
SRMERS_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SRMERS/json (API)

# Install 'SRMERS' in R:

install.packages('SRMERS', repos = c('https://qy2166.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

data.sim.fixed - Simulated dataset for SRMERS FERS example
data.sim.fixed.int - Simulated dataset for SRMERS FERSInt example
data.sim.med - Simulated dataset for SRMERS SRSplineMed, LRMed, LRMed2 example
data.sim.mixed - Simulated dataset for SRMERS MERS example

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.18 score 1 packages 3 scripts 410 downloads 6 exports 31 dependencies

Last updated from:5dfa3a8788. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	170
source / vignettes	OK	182
linux-release-x86_64	OK	162
macos-release-arm64	OK	173
macos-oldrel-arm64	OK	299
windows-devel	OK	115
windows-release	OK	109
windows-oldrel	OK	113
wasm-release	OK	123

Exports:FERS FERSInt LRMed LRMed2 MERS SRSplineMed

Dependencies:boot cli coneproj dplyr generics glue lattice lifecycle lme4 magrittr MASS Matrix minqa nlme nloptr pillar pkgconfig R6 rbibutils Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang splines2 tibble tidyselect utf8 vctrs withr

SRMERS-intro

Rendered fromSRMERS-intro.Rmdusingknitr::rmarkdown

Last update: 2026-01-13
Started: 2026-01-13

Help page	Topics
Simulated dataset for SRMERS FERS example	data.sim.fixed
Simulated dataset for SRMERS FERSInt example	data.sim.fixed.int
Simulated dataset for SRMERS SRSplineMed, LRMed, LRMed2 example	data.sim.med
Simulated dataset for SRMERS MERS example	data.sim.mixed
P values for shapes obtained from semi-parametric shape-restricted fixed effect regression splines.	FERS
P values for shapes obtained from semi-parametric shape-restricted fixed effect regression splines with factor-by-curve interaction.	FERSInt
Calculate the CDE, NDE and NIE (linear models, binary exposure).	LRMed
Calculate the CDE, NDE and NIE (linear models, continuous exposure).	LRMed2
P values for shapes obtained from semi-parametric shape-restricted mixed effects regression splines.	MERS
Calculate the CDE, NDE and NIE.	SRSplineMed

Package: SRMERS 0.1.1

SRMERS: Semi-Parametric Shape-Restricted Fixed/Mixed Effect(s) Regression Spline

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)