Simulate Data from State Space Models [R package simStateSpace version 1.2.12]

Ivan Jacob Agaloos Pesigan

simStateSpace: Simulate Data from State Space Models

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>.

Version: 1.2.12

Depends: R (≥ 3.5.0)

Imports: Rcpp, stats

LinkingTo: Rcpp (≥ 1.0.12), RcppArmadillo (≥ 15.0.2-2)

Suggests: knitr, rmarkdown, testthat, expm, dynr

Published: 2025年10月10日

DOI: 10.32614/CRAN.package.simStateSpace

Author: Ivan Jacob Agaloos Pesigan ORCID iD [aut, cre, cph], Michael A. Russell ORCID iD [ctb], Sy-Miin Chow ORCID iD [ctb]

Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab at gmail.com>

BugReports: https://github.com/jeksterslab/simStateSpace/issues

License: GPL (≥ 3)

URL: https://github.com/jeksterslab/simStateSpace, https://jeksterslab.github.io/simStateSpace/