Ivan Jacob Agaloos Pesigan 2023-09-18
Research compendium for the manuscript Pesigan, I. J. A., & Cheung, S. F. (2023). Monte Carlo confidence intervals for the indirect effect with missing data. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02114-4
The simulation was performed in part at the High-Performance Computing
Cluster (HPCC) which is supported by the Information and Communication
Technology Office (ICTO) of the University of Macau. See
https://icto.um.edu.mo/teaching-learning-research/high-performance-computing-cluster-hpcc/
for more information on the University of Macau’s High-Performance
Computing Cluster (HPCC). We used the third-generation HPCC (Coral)
particularly the serial-normal and serial-short cluster partitions.
See .sim/README.md and the scripts in the .sim folder in the
GitHub repository for
more details on how the simulation was performed.
You can install manMCMedMiss from
GitHub with:
if (!require("remotes")) install.packages("remotes")
remotes::install_github("jeksterslab/manMCMedMiss")See Containers for containerized versions of the package.
See https://github.com/jeksterslab/manMCMedMiss/blob/main/.setup/latex/manMCMedMiss-manuscript.Rtex for the latex file of the manuscript. See https://github.com/jeksterslab/manMCMedMiss/blob/latex/manMCMedMiss-manuscript.pdf for the compiled PDF.
Monte Carlo confidence intervals for free and defined parameters in
models fitted in the structural equation modeling package lavaan can
be generated using the semmcci package. semmcci is available on the
Comprehensive R Archive Network (CRAN)
(https://CRAN.R-project.org/package=semmcci). Documentation and
examples can be found in the accompanying website
(https://jeksterslab.github.io/semmcci).
See GitHub Pages for package documentation.
To cite semmcci in publications, please cite Pesigan & Cheung (2023).
Pesigan, I. J. A., & Cheung, S. F. (2023). Monte Carlo confidence intervals for the indirect effect with missing data. Behavior Research Methods. https://doi.org/10.3758/s13428-023-02114-4