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: | 
2025-10-10 | 
| DOI: | 
10.32614/CRAN.package.simStateSpace | 
| Author: | 
Ivan Jacob Agaloos Pesigan
      [aut, cre,
    cph],
  Michael A. Russell
      [ctb],
  Sy-Miin Chow  
    [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/ | 
| NeedsCompilation: | 
yes | 
| SystemRequirements: | 
GNU GSL (>= 2.5) | 
| Citation: | 
simStateSpace citation info  | 
| Materials: | 
NEWS  | 
| CRAN checks: | 
simStateSpace results | 
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