Ivan Jacob Agaloos Pesigan 2025-07-24
Research compendium for the manuscript Pesigan, I. J. A., Russell, M. A., & Chow, S.-M. (2025). Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models. Psychological Methods. https://doi.org/10.0000/0000000000
This research was made possible by the Prevention and Methodology Training Program (PAMT) funded by a T32 training grant (T32 DA017629 MPIs: J. Maggs & S. Lanza) from the National Institute on Drug Abuse (NIDA), the National Institutes of Health Intensive Longitudinal Health Behavior Cooperative Agreement Program U24AA027684, National Science Foundation grants DUE-2417294, the National Center for Advancing Translational Sciences under UL1TR002014-06, and the National Institute of Diabetes, Digestive & Kidney Diseases under U01DK135126.
Computations for this research were performed on the Pennsylvania State
University’s Institute for Computational and Data Sciences’ Roar
supercomputer using SLURM for job scheduling (Yoo et al., 2003), GNU
Parallel to run the simulations in parallel (Tange, 2021), and Apptainer
to ensure a reproducible software stack (Kurtzer et al., 2017, 2021).
See .sim/README.md
and the scripts in the .sim
folder in the
GitHub repository for more
details on how the simulations were performed.
You can install manCTMed
from
GitHub with:
if (!require("remotes")) install.packages("remotes")
remotes::install_github("jeksterslab/manCTMed")
See Containers for containerized versions of the package.
See https://github.com/jeksterslab/manCTMed/blob/main/.setup/latex/manCTMed-manuscript.Rtex for the latex file of the manuscript. See https://github.com/jeksterslab/manCTMed/blob/latex/manCTMed-manuscript.pdf for the compiled PDF.
Effect sizes, standard errors and confidence intervals for the direct,
indirect, and total effects for continuous-time mediation models as well
as visualization tools are available in the cTMed
package available on
the Comprehensive R Archive Network (CRAN)
(https://CRAN.R-project.org/package=cTMed). Documentation and examples
can be found in the accompanying website
(https://jeksterslab.github.io/cTMed).
See GitHub Pages for package documentation.