Ivan Jacob Agaloos Pesigan
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: https://doi.org/10.1037/met0000779).
Installation
You can install the CRAN release of bootStateSpace with:
install.packages("bootStateSpace")You can install the development version of bootStateSpace from GitHub with:
if (!require("remotes")) install.packages("remotes")
remotes::install_github("jeksterslab/bootStateSpace")More Information
See GitHub Pages for package documentation.
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. https://doi.org/10.1037/met0000779
R Core Team. (2025). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/