Simulate Data from State Space Models R package simStateSpace version 1.2.16 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) <doi:10.1037/met0000779>. Software Depends: R (>= 4.1.0) Imports: Rcpp (>= 1.0.12), stats LinkingTo: Rcpp (>= 1.0.12), RcppArmadillo (>= 15.0.2-2) Suggests: knitr, rmarkdown, testthat, expm, dynr Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com> Comprehensive R Archive Network (CRAN) Ivan Jacob Agaloos Pesigan [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-4818-8420>), Michael A. Russell [ctb] (ORCID: <https://orcid.org/0000-0002-3956-604X>), Sy-Miin Chow [ctb] (ORCID: <https://orcid.org/0000-0003-1938-027X>) GPL (>= 3) 2026-03-25 application/tgz https://CRAN.R-project.org/package=simStateSpace doi:10.32614/CRAN.package.simStateSpace