https://github.com/jeksterslab/bootstatespace

Provides a streamlined and user-friendly framework for bootstrapping in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. For an introduction to state space models in social and behavioral sciences, refer tto Chow, Ho, Hamaker, and Dolan (2010).
https://github.com/jeksterslab/bootstatespace

bootstrap r r-package state-space-model

Last synced: 8 months ago
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Provides a streamlined and user-friendly framework for bootstrapping in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. For an introduction to state space models in social and behavioral sciences, refer tto Chow, Ho, Hamaker, and Dolan (2010).

• Host: GitHub
• URL: https://github.com/jeksterslab/bootstatespace
• Owner: jeksterslab
• License: gpl-3.0
• Created: 2025-01-18T02:58:52.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-02-14T22:26:00.000Z (over 1 year ago)
• Last Synced: 2025-03-18T23:45:52.467Z (over 1 year ago)
• Topics: bootstrap, r, r-package, state-space-model
• Language: TeX
• Homepage: https://jeksterslab.github.io/bootStateSpace/
• Size: 6.71 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE.md
  • Citation: CITATION.cff

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README

          
bootStateSpace

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

Ivan Jacob Agaloos Pesigan

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## Description

Provides a streamlined and user-friendly framework for bootstrapping in

state space models, particularly when the number of subjects/units (n)

exceeds one, a scenario commonly encountered in social and behavioral

sciences. The parametric bootstrap implemented here was developed and

applied in Pesigan, Russell, and Chow (2025:

).

## Installation

You can install the CRAN release of `bootStateSpace` with:

``` r

install.packages("bootStateSpace")

```

You can install the development version of `bootStateSpace` from

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

``` r

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

remotes::install_github("jeksterslab/bootStateSpace")

```

## More Information

See [GitHub Pages](https://jeksterslab.github.io/bootStateSpace) for

package documentation.

## Citation

To cite `bootStateSpace` in publications, please cite Pesigan et al.

(2025).

## References





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*.





R Core Team. (2025). *R: A language and environment for statistical

computing*. R Foundation for Statistical Computing.