https://github.com/jeksterslab/ctmed

Calculates standard errors and confidence intervals for effects in continuous-time mediation models.
https://github.com/jeksterslab/ctmed

centrality continuous-time delta-method mediation monte-carlo-method network r r-package

Last synced: 15 days ago
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Calculates standard errors and confidence intervals for effects in continuous-time mediation models.

• Host: GitHub
• URL: https://github.com/jeksterslab/ctmed
• Owner: jeksterslab
• License: gpl-3.0
• Created: 2024-03-19T02:47:59.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-10-22T17:17:17.000Z (26 days ago)
• Last Synced: 2024-10-23T15:26:32.349Z (25 days ago)
• Topics: centrality, continuous-time, delta-method, mediation, monte-carlo-method, network, r, r-package
• Language: TeX
• Homepage: https://jeksterslab.github.io/cTMed/
• Size: 155 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE.md
  • Citation: CITATION.cff

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README

        
cTMed

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

Ivan Jacob Agaloos Pesigan

2024-10-22

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## Description

Calculates standard errors and confidence intervals for effects in

continuous time mediation models.

## Installation

You can install the development version of `cTMed` from

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

``` r

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

remotes::install_github("jeksterslab/cTMed")

```

## Documentation

See [GitHub Pages](https://jeksterslab.github.io/cTMed/index.html) for

package documentation.

## References





Bollen, K. A. (1987). Total, direct, and indirect effects in structural

equation models. *Sociological Methodology*, *17*, 37.





Deboeck, P. R., & Preacher, K. J. (2015). No need to be discrete: A

method for continuous time mediation analysis. *Structural Equation

Modeling: A Multidisciplinary Journal*, *23*(1), 61–75.





R Core Team. (2024). *R: A language and environment for statistical

computing*. R Foundation for Statistical Computing.





Ryan, O., & Hamaker, E. L. (2021). Time to intervene: A continuous-time

approach to network analysis and centrality. *Psychometrika*, *87*(1),

214–252. 





Wang, L., & Zhang, Q. (2020). Investigating the impact of the time

interval selection on autoregressive mediation modeling: Result

interpretations, effect reporting, and temporal designs. *Psychological

Methods*, *25*(3), 271–291.