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manmcmedmiss

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

https://github.com/jeksterslab/manmcmedmiss

Science Score: 49.0%

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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

Basic Info
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Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme Changelog License Citation

README.md

manMCMedMiss

Ivan Jacob Agaloos Pesigan 2023-09-18

DOI <!-- badges: end -->

Description

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

Acknowledgment

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 Macaus 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.

Installation

You can install manMCMedMiss from GitHub with:

r if (!require("remotes")) install.packages("remotes") remotes::install_github("jeksterslab/manMCMedMiss")

See Containers for containerized versions of the package.

Author-Accepted Manuscript

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.

R Package

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).

More Information

See GitHub Pages for package documentation.

Citation

To cite semmcci in publications, please cite Pesigan & Cheung (2023).

References

Pesigan, I. J. A., & Cheung, S. F. (2023). Monte Carlo confidence intervals for the indirect effect with missing data. *Behavior Research Methods*.

Owner

  • Name: Ivan Jacob Agaloos Pesigan
  • Login: jeksterslab
  • Kind: user
  • Company: University of Macau

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