https://github.com/jeksterslab/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

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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

• Host: GitHub
• URL: https://github.com/jeksterslab/manmcmedmiss
• Owner: jeksterslab
• License: other
• Created: 2022-12-22T10:35:46.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-09-18T11:44:01.000Z (about 1 year ago)
• Last Synced: 2024-10-10T05:35:27.667Z (about 1 month ago)
• Language: TeX
• Homepage: https://jeksterslab.github.io/manMCMedMiss/
• Size: 83.3 MB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE
  • Citation: CITATION.cff

Awesome Lists containing this project

README

        
manMCMedMiss

================

Ivan Jacob Agaloos Pesigan

2023-09-18

[![DOI](https://zenodo.org/badge/DOI/10.3758/s13428-023-02114-4.svg)](https://doi.org/10.3758/s13428-023-02114-4)

## 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*.

## 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

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](https://github.com/jeksterslab/manMCMedMiss) repository for

more details on how the simulation was performed.

## Installation

You can install `manMCMedMiss` from

[GitHub](https://github.com/jeksterslab/manMCMedMiss) with:

``` r

if (!require("remotes")) install.packages("remotes")

remotes::install_github("jeksterslab/manMCMedMiss")

```

See

[Containers](https://jeksterslab.github.io/manMCMedMiss/articles/containers.html)

for containerized versions of the package.

## Author-Accepted Manuscript

See

for the latex file of the manuscript. See

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)

(). Documentation and

examples can be found in the accompanying website

().

## More Information

See [GitHub

Pages](https://jeksterslab.github.io/manMCMedMiss/index.html) 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*.