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Description

Provides a streamlined and user-friendly framework for simulating data in state space models, particularly when the number of subjects/units (n) exceeds one, a scenario commonly encountered in social and behavioral sciences. This package was designed to generate data for the simulations performed in Pesigan, Russell, and Chow (2025: https://doi.org/10.1037/met0000779).

Installation

You can install the CRAN release of simStateSpace with:

install.packages("simStateSpace")

You can install the development version of simStateSpace from GitHub with:

if (!require("pak")) install.packages("pak")
pak::pkg_install("jeksterslab/simStateSpace")

More Information

See GitHub Pages for package documentation.

Citation

To cite simStateSpace in publications, please cite (Pesigan-Russell-Chow-2025o?).

References

R Core Team. (2026). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/